This 3-sentence summary provides the essential information about the document:
The document describes the course description for the Fundamentals of Robotics course at Tennessee State University, including the course objectives, topics, schedule, textbooks, assignments, policies, and instructor information. The principal objective is to teach students the fundamental principles of robotics, with an emphasis on mathematical models of robot kinematics, dynamics, motion, control, and applications. The course will cover topics such as coordinate systems, manipulator kinematics, mobile robot kinematics, differential motion, dynamics, task planning, and localization over a 15-week semester.
This document provides information about the ENGR 356 Fluid Mechanics course offered in the fall 2019 semester at the American University of Iraq, Sulaimani. It outlines the course details including instructor information, class times and location, credit hours, materials, evaluation methods, policies, and expectations. The course covers fundamental fluid mechanics concepts through both classroom lectures and laboratory experiments. Students will learn to apply mathematical and analytical skills to fluid properties and behavior, complete 6-7 lab reports, and be evaluated through quizzes, a midterm, and a final exam. The course aims to provide a basic understanding of fluids that will benefit all engineering majors.
This document provides information about the Genetics course BIOL 310 taught by Dr. Tricia Hardt Smith. It includes Dr. Smith's contact information, office hours, background and research interests. The document outlines the course objectives, textbook, grading criteria, exam policies, academic honesty policy, homework and quiz due dates, and the course schedule. It provides tips for students on how to succeed in the course such as attending review sessions, time management of assignments, dealing with test anxiety, and using disability support services if needed.
This document provides a syllabus for a Human Anatomy and Physiology I course taught by Dr. Matt Pearcy from January to May 2014. The syllabus outlines the course content including cell structure, tissues, integumentary, skeletal, muscular and nervous systems. Assessments will include 5 exams, a final exam, and weekly lab assignments. The course aims to provide an understanding of human body structure and function.
This document provides the syllabus for a human anatomy and physiology course. It outlines the instructor's contact information, general course information including credits, description, prerequisites and textbooks. It details the course content, learning outcomes, assessments including exams and labs, grading criteria, student resources and instructor policies regarding attendance, withdrawals, academic integrity, disabilities, cell phones and preventing harassment. It concludes with a tentative class schedule listing the general course content and learning outcomes addressed each week.
This document outlines the syllabus for the course "Human Perspective in Artificial Intelligence" taught during the second semester of 2019-2020 at the University of Puerto Rico, Mayag端ez Campus. The course is an introduction to AI systems from a human perspective, covering topics like human cognition, emotion, decision-making, and incorporating human aspects into AI system design. It will be administered through the online platform Moodle, use Piazza for discussions, and include exams, homework assignments, and a semester project analyzing approaches to human perspective in AI.
This document provides the syllabus for a Human Anatomy and Physiology II course taught by Dr. Matt Pearcy in the spring of 2014. The syllabus outlines the course content which covers various body systems including the endocrine, reproductive, circulatory, respiratory, urinary, and digestive systems. Assessments will include six exams and weekly lab assignments. The grading scale and policies on attendance, withdrawals, academic integrity, and disabilities are also summarized.
This syllabus outlines the course details for BIO 160 Introduction to Human Anatomy and Physiology taught by Dr. Matt Pearcy in Spring 2015. The course will cover the structure and function of the major human body systems through lectures, labs, and assessments over 16 weeks. Students will be evaluated based on exams, quizzes, and lab activities for a total of 1000 points, with letter grades assigned for the following point ranges: A = 900-1000, B = 800-899, C = 700-799, D = 600-699, F = 599 or fewer. The syllabus provides information on contacting the instructor, textbooks, student resources, policies, and the tentative weekly schedule.
1. This document provides the course syllabus for NURS 3020/3021 Health Assessment at East Carolina University School of Nursing.
2. The course is designed to provide theoretical foundations and lab experiences to perform a holistic health assessment. It is a 3 credit hour junior level course.
3. Evaluation methods include quizzes, tests, and a final exam based on health assessment content. Students must also pass the lab component which includes demonstrations of health assessment skills.
This 3-page document is the course syllabus for PSYC 103 General Psychology. It provides information on the instructor, class details including time and location, prerequisites and expectations. The course aims to develop a basic understanding of psychology and related subjects through demonstration of comprehension of principles and research. Students will be assessed through exams, a quiz, paper and class participation. The grading scale and policies on attendance, late assignments, academic integrity and withdrawals are outlined.
This is our introduction PowerPoint for our very first course, 'Fundamentals of Machine Tools.' It presents an overview of our course content, guidelines, requirements, and grading.
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Syllabus ViewPrintFilesInfoCV
Introduction to Ethics
Alamo Colleges District
San Antonio College
-
PHIL-Philosophy
Introduction to Ethics
PHIL-2306
8 Weeks Flex I Spring 2018Section 050.203343-3-0 Credits01/16/2018 to 03/10/2018Modified 01/10/2018
Contact Information
Department of Language, Philosophy, and Culture:
Materials
Elements of Moral PhilosophyAuthor: RachelsPublisher: McGraw-Hill PublishersEdition: 8thISBN: 9780078038242
Description
Classical and contemporary theories concerning the good life, human conduct in society, and moral and ethical standards. This course fulfills the Language, Philosophy, and Culture foundational component area and the Component Area Option of the core, and addresses the following required objectives: Critical Thinking, Communication, Social Responsibility, and Personal Responsibility.
Prerequisite(s)
INRW 0420
Objectives
Objective 1:油 The student will be able to articulate key concepts in ethical and moral philosophy.
Objective 2:油 The student will construct defensible personal beliefs about assigned philosophical topics.
Objective 3:油 The student will be able to analyze primary philosophical works.
Objective 4:油 The student will be able to recognize and assess arguments and construct counter arguments.
Objective 5:油 The student will be able to identify the influence of major philosophers on contemporary ethical thought and experience.
Outcomes
1 Read, analyze, and critique philosophical texts.
2 Define and appropriately use important terms such as relativism, virtue, duty, rights, utilitarianism, natural law, egoism, altruism, autonomy, and care ethics.
3 Demonstrate knowledge of major arguments and problems in ethics.
4 Present and discuss well-reasoned ethical positions in writing.
5 Apply ethical concepts and principles to address moral concerns.
6 Apply course material to various aspects of life.
7 Discuss ways of living responsibly in a world where people have diverse ethical beliefs.
Evaluation
WEEKLY READINGS
The online course will be organized around weekly readings. While the amount of assigned readings will not be extensive, they will require careful reading and rereading. Notes on reading philosophical text are provided in detail below.
DISCUSSION
Discussions will play a central role in this course, so your active participation is required. I will post on CANVAS, and take part in, discussion questions related to the readings for each of the 8 weeks. Everyone must have at least one post and must respond to TWO other students post. Discussion posts should be AT LEAS.
This document provides information for MATH 221 Statistics for Decision Making taught at DeVry Institute of Technology in term 1005. It outlines the course description, objectives, required materials, policies, calendar, grading structure, and tentative schedule. The course uses an elementary statistics textbook and teaches descriptive and inferential statistical concepts to help students make data-driven decisions in business contexts. Topics include probability, sampling, distributions, confidence intervals, hypothesis testing, correlation, and regression.
This document outlines the course details for Mechanical Engineering 5680 at Ohio State University for Autumn 2015. The course will be taught by Dr. Sandra Metzler on Tuesdays and Thursdays from 11:10 am to 12:30 pm in Scott Lab E200. It will cover topics such as solid modeling, motion simulation, geometric dimensioning and tolerancing, and computer-aided manufacturing. Students will use software like SolidWorks and complete labs involving CNC machining, robotics, and injection molding. The grading will be based on homework, labs, quizzes, projects, and exams. Safety protocols are outlined for the labs.
COURSE SYLLABUSData Analysis and Reporting Spring 2019.docxmarilucorr
油
COURSE SYLLABUS
Data Analysis and Reporting
Spring 2019
I. Class
揃 Course Description: Students will gain practical experience in using advanceddatabase techniques and data visualization, data warehousing, reporting and other Business Intelligence (BI) tools. Contemporary BI tools and technologies will be used to create intelligent solutions to realistic problems.
揃 Course Objectives:
1. Effectively understand the evolution of business analytics needs and to develop an appreciation for issues in managing data/information/knowledge.
2. Apply in advanced database techniques in designing and executing complex queries in enterprise level database management information systems (Oracle,
SQL server, DB2 ).
3. Understand data warehousing administration and security issues.
4. Apply data extraction, transformation, and load (ETL) processes.
5. Administer and build reports
BI. Required Course Materials
揃 Free eBooks and other software resources will be posted on Blackboard.
揃 We use the Microsoft SQL Server 2017 in this class through a virtual machine that you can access from home or from campus.
揃 The on-campus computer lab in the business building located off the Atrium is available for student use and has the necessary computers and software. Computer lab hours can be found at: http://ualr.edu/cob/student-services/advising/advising-faq/
揃 Some of the assignments will require Microsoft Office software (e.g., MS Word, Excel, etc.). One way to get access to the MS Office software is get a free subscription to MS Office 365 ProPlus. Get the MS Office software here for free..
2
IV.
Course Grading
Course grading will be the combination of exams, term project, assignments, and quizzes. Grades are based on: A: 90~ 100%, B: 80~ 89%, C: 70~ 79%, D: 60~ 69%, F: 59 as described below. Graduate students will be evaluated using the same criteria as the undergraduate students. However, they will have to submit an additional assignments and/or extra project.
Grade Element
%
A.
Participation
10%
B.
Reading Quizzes
20%
C.
Assignments
30%
D.
Assignment Quizzes
10%
E.
Exams (three)
30%
Total
100%
A. Participation
You will be responsible for various in-class activities that will allow you to exercise your skills and knowledge, stimulate your critical thinking, and perform your assignments. You are expected to attend all the sessions, come to the class before it starts, stay in class for lectures and assignments, and participate with all class activities. Failure in any of these four areas will impact your participation grade.
Class attendance, measured as a percentage of classes attended where role is called, sets the baseline for the participation grade (e.g., 80% means you attended 8 out of 10 classes and did not leave those classes early). Additional points may be removed for non-participation in classroom activities or discussions.
揃 Class attendances will be verified at the beginning of each class. Students will be count.
This document provides a course syllabus for an online college success strategies course. It outlines the instructor contact information, course description and competencies, learning outcomes, required activities and assignments, technology needs, academic integrity policy, attendance policy, grading scale, and tentative weekly schedule. The course introduces students to strategies for self-management, use of campus resources, and academic success. Students are required to complete various assignments each week related to topics like time management, test anxiety, learning styles, and careers. They must also participate in at least 5 approved campus activities.
This document provides information about a Chromatography course offered by the Department of Chemistry at Trent University. The course consists of weekly lectures, seminars, laboratory exercises, and computer quizzes. It aims to provide an overview of modern chromatographic separation techniques, including theory, instrumentation, and applications. Students will be evaluated based on laboratory reports, assignments, and their performance on the weekly computer quizzes. The document outlines the course format, schedule, policies and evaluation criteria in detail.
This document provides the course syllabus for an online college success strategies course. The syllabus outlines the instructor contact information, course description and competencies, student learning outcomes, required materials, assignments and activities, technology needs, academic integrity policy, attendance policy, grading scale, and tentative course calendar. The course aims to help students develop strategies for academic and career success through assignments such as creating a Starfish profile, completing library and campus activities, participating in online discussions, and meeting with an advisor. Students will earn points toward their final grade by completing pre-tests, weekly attendance checks, assignments related to time management, test anxiety, and diversity awareness.
This 3-sentence summary provides the essential information about the course syllabus:
This 3-credit, Technology for Teachers course meets on Tuesdays and Thursdays from 2:30-3:45 pm in room NKM 117. The course introduces students to integrating instructional technology into K-12 classrooms and focuses on software, presentation tools, and issues related to technology use. Grades are based on technology-focused assignment projects completed throughout the semester, which are worth 80% of the final grade, and a comprehensive final exam worth the remaining 20%.
This document provides information about a robotics course taught by Mr. Joslin at New Hampton School. The course covers three competencies: design, programming, and process. Students will learn to design and build robots using mechanical components like gears and motors. They will program robots using a visual programming language. The course involves individual and group projects where students design, build, program and test robots. It is a self-paced course where students progress through instructional videos, exercises and projects at their own speed within unit deadlines. Assessment is competency-based. The final project involves students working in teams to independently design, build and program a robot to complete a challenge of their choosing.
Course InformationCourse Number and TitleMG6615 OperatioCruzIbarra161
油
Course Information
Course Number and Title:MG6615 Operational Planning and Policy (CRN 228) Term and Year:Fall I 2021
Term Dates:August 23rd, 2021 December 12th, 2021
Delivery Method:Online with Virtual Residency Meeting Place and Time:Online via Blackboard and Zoom
Live Session:You will be contacted by your LIVE Residency Instructor. This individual
may/may not be the instructor for your Blackboard course. Please be sure to check your NEC email daily. LIVE Zoom Faculty will reach out in weeks 3 or 4 of the term. Students will meet during the term to complete the required 8 hours of LIVE Zoom contact. In accordance to federal and campus guidelines in response to COVID, these sessions are all required and replace the Henniker Residency that has been moved online due to COVID. In addition to the 8 hours of LIVE Zoom instruction, you have 10 hours of self-directed research to assist in your studies for your required 18 hours of residency for this course.
Credits:3
Prerequisites:N/A
Instructor Information
Faculty Name:Dr. Sherwin L. Stewart
Email Address:[email油protected]
Phone Number:423-665-9701. I am available Thursdays, 7p.m. 8p.m. EST, or by appointment Response time:I will respond within 24 hours.
Required Materials and Textbook(s)
Thompson Jr. A. A, Peteraf, M. A., Gamble, J. E., and Strickland III, A. J. (2022). Crafting & Executing Strategy: The Quest for Competitive Advantage: Concepts and Cases. 23rd Edition. McGraw-Hill. ISBN: 978-1-260-73517-8
STRATSIMMANAGEMENT Strategic Management Simulation
Available for purchase via eCampus, NECs Online bookstore
Note: Students will receive a welcome email from Interpretive Simulations that will contain a unique user ID and password for each student, as well as instructions on how to log in, register, and gain access to (redeem the access code from eCampus) their resources and simulation. It is highly recommended that students log in and complete the registration as soon as possible to get quickly acclimated to the simulation part of this course. Please note:
揃 Students cannot register their accounts before Interpretive Simulations receives their contact information from their instructor.
揃 Students who purchase the access code early (weeks ahead of time) from eCampus will have to wait until the instructor provides the name/email list in order to receive the Welcome email with their user ID and password.
揃 Students need to keep track of their access code (it will be sitting in their eCampus account in their digital bookshelf) until the time comes to register at start of term.
Once students begin the simulation during week 9, they will be put in teams of 2 or 3 to complete each of ten
(10) simulated moves (approximately 2 per week) over a 5-week period. There will be a brief quiz during week 8 to measure students understanding of the simulation tool and situation. This is designed to have students quickly study the initial case and get acclimated to the simulation tool prior to group wor ...
This 3 credit hour course titled "Technology for Teachers" meets on Tuesdays and Thursdays from 2:30-3:45pm in room NKM 117. The course focuses on helping future teachers learn how to integrate instructional technology into K-12 classrooms. Students will study software programs, presentation tools, and telecommunication tools, as well as social, ethical, and legal issues related to technology use. The course involves various projects using technological tools. Grades are based 80% on assignment projects and 20% on a comprehensive final exam. The syllabus outlines course objectives, policies on attendance, late work, and other relevant information.
rate the core knowledge and skills of project 油management (P.docxtemplestewart19
油
rate the core knowledge and skills of project 油management (PM). Rubric-based assignment s油
, projects, and/or exams . 油油Apply common and current t ools to project management 油t油
asks. Rubric-based assignments, projects, and/or ex ams. 油Employ pl a油
nning, organization, and management skills to complet e project de l油
iverable s . 油Rubric-base d assignments, projects, and/or 油ex a ms. 油Demonstrate profession a l -level writin g sk ills in the writing of project 油r油
e p油
orts. Rubric-based assignments, p r ojects, and/or exams. 油Evaluate teamwork skills in th e con t ext 油of project implementat ion. Rubric-based assignments, projects, and/or exams. 油Construct an effective oral pr esentation summarizing the project. Rubric-based assignments, projects, and/or exams. 油
TEXTBOOK
: Informa t ion Technology Pro ject 油Management, 8th edition, by Kathy Schwalbe . 油Published by C ours e Technology Cen gage Learning. 油油
SOFTWARE AND SYSTEM REQUIREMENTS:
A fully functioning version of Microsoft Project 2油
013/2016 is required for this course. Students must have access to 油油
this 油so ft w a re by the first day 油油
of the quarter and the program must be available until the last day of the q uarter. MS Pr o油
j油
ect runs on a W indows OS, on a 油油B o ot -Camp p a油
Windows. You can download the software for free under the ITAM Departments 油Microsoft Imagine 油account. 油油油
Important Not e: 油油
In past quarters, some students have encountered problems accessing 油Imagine 油油which has 油prevented those students 油from downloading MS Project 2016 油油in the first module of the course. Each 油student must put a backup plan into place if this problem is experienced. Two different solutions to the 油problem are available to each student: 油油
1. 油Make use of the CWU computer labs that have Project 油2016 . There are labs at the Main CWU 油Campus and the Satellite Campuses that run Project 油2016 . Please use the labs to stay current in the 油class while the details of your 油Imagine 油油account is being addressed. 油油
2. 油Download the 油30 - day 油油trial version of Project 2016 油油from 油Microsoft to your home computer while the 油details of your 油Imagine 油油account is being addressed. After you have gained access to 油Imagine , you 油should be able to use the software key to unlock your trial version or you can simply re - download 油the software follow ing the instructions on the 油Imagine 油油website. Extensions will not be granted for 油assignments missed in the first module of the course because of difficulty with the 油Imagine 油油account 油subscription. 油油
Grading 油油
Grading scale: 油油
A = 93% 油油油油A - 油油= 90% 油油B+ = 87% 油油油油B = 83% 油油油油B - 油油= 80% 油油
C+ = 77% 油油C = 73% 油油油油C - 油油= 70% 油油油油D+ =67% 油油D = 63% 油油
D - 油油= 60% 油
Individual Assig n m油
ents 30% In-Class Activities 20% Team Project 35% In-Class 油Quizzes 15% Total 100%
Co urse Policies: 油I reserve the right to make changes to this document, the syllabus, clas.
This document provides the syllabus for a Health and Wellness course at Salem State University. The course will be taught by Dr. Brian Witkov on Mondays, Wednesdays and Fridays from 7:50-8:50am or 8:50-9:50am in room 214 of the O'Keefe building. Students will use the textbook "Your Health Today" and be assessed based on attendance, in-class activities, pop quizzes, homework, and three tests. The course aims to help students develop critical thinking around wellness, integrate multiple dimensions of wellness into their lives, and empower positive health behaviors. Reasonable accommodations will be provided for students with disabilities.
This document outlines the policies and course details for ECO501 Business Economics Analysis & Forecasting. Key points include:
- The course covers economic concepts, analysis, forecasting techniques and their application to business decision making.
- Assessment includes two case studies, class participation, and a final exam evaluating understanding of course concepts.
- Topics range from supply/demand and elasticity to regression models, correlations, and time-series forecasting.
- Students are expected to attend lectures, participate actively, and complete all assessments by the scheduled due dates.
This document provides the syllabus for an introductory course on architectural building technologies. The course will introduce students to building structure, enclosures, and interior environments. Students will learn about factors influencing building systems, codes and standards, structural and thermal impacts on interiors, principles of lighting and acoustics design, and integrating building systems evaluations. The course will include assignments, projects, quizzes, and discussions assessed on an 1000 point scale. The instructor's contact information and policies on submissions, late work, communication, and academic integrity are also outlined.
This document outlines the syllabus for an introductory microeconomics course taught at Alfaisal University. It provides information about the instructor, class times and locations, required textbook, course description and objectives, assessment methods, policies on attendance, plagiarism, and grading. Students will learn basic microeconomic concepts through lectures, readings, videos, and exams. Grades are based on three exams during the course and in-class assignments, with the option to take a comprehensive final exam. University policies on attendance and academic integrity are also summarized.
This document is a course syllabus for Administrative Office Management at Cleveland Community College. It provides information on the course description, requirements, goals, instruction methods, student learning outcomes, evaluation criteria, attendance policy, grading scale, and important dates. The course is designed to provide a working knowledge of modern office procedures and prepare students to adapt in an office environment. Students will learn skills such as scheduling, telephone procedures, travel arrangements, and document management. Evaluation will include exams, assignments, presentations, class participation, and a journal.
This 3-page document is the course syllabus for PSYC 103 General Psychology. It provides information on the instructor, class details including time and location, prerequisites and expectations. The course aims to develop a basic understanding of psychology and related subjects through demonstration of comprehension of principles and research. Students will be assessed through exams, a quiz, paper and class participation. The grading scale and policies on attendance, late assignments, academic integrity and withdrawals are outlined.
This is our introduction PowerPoint for our very first course, 'Fundamentals of Machine Tools.' It presents an overview of our course content, guidelines, requirements, and grading.
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Syllabus ViewPrintFilesInfoCV
Introduction to Ethics
Alamo Colleges District
San Antonio College
-
PHIL-Philosophy
Introduction to Ethics
PHIL-2306
8 Weeks Flex I Spring 2018Section 050.203343-3-0 Credits01/16/2018 to 03/10/2018Modified 01/10/2018
Contact Information
Department of Language, Philosophy, and Culture:
Materials
Elements of Moral PhilosophyAuthor: RachelsPublisher: McGraw-Hill PublishersEdition: 8thISBN: 9780078038242
Description
Classical and contemporary theories concerning the good life, human conduct in society, and moral and ethical standards. This course fulfills the Language, Philosophy, and Culture foundational component area and the Component Area Option of the core, and addresses the following required objectives: Critical Thinking, Communication, Social Responsibility, and Personal Responsibility.
Prerequisite(s)
INRW 0420
Objectives
Objective 1:油 The student will be able to articulate key concepts in ethical and moral philosophy.
Objective 2:油 The student will construct defensible personal beliefs about assigned philosophical topics.
Objective 3:油 The student will be able to analyze primary philosophical works.
Objective 4:油 The student will be able to recognize and assess arguments and construct counter arguments.
Objective 5:油 The student will be able to identify the influence of major philosophers on contemporary ethical thought and experience.
Outcomes
1 Read, analyze, and critique philosophical texts.
2 Define and appropriately use important terms such as relativism, virtue, duty, rights, utilitarianism, natural law, egoism, altruism, autonomy, and care ethics.
3 Demonstrate knowledge of major arguments and problems in ethics.
4 Present and discuss well-reasoned ethical positions in writing.
5 Apply ethical concepts and principles to address moral concerns.
6 Apply course material to various aspects of life.
7 Discuss ways of living responsibly in a world where people have diverse ethical beliefs.
Evaluation
WEEKLY READINGS
The online course will be organized around weekly readings. While the amount of assigned readings will not be extensive, they will require careful reading and rereading. Notes on reading philosophical text are provided in detail below.
DISCUSSION
Discussions will play a central role in this course, so your active participation is required. I will post on CANVAS, and take part in, discussion questions related to the readings for each of the 8 weeks. Everyone must have at least one post and must respond to TWO other students post. Discussion posts should be AT LEAS.
This document provides information for MATH 221 Statistics for Decision Making taught at DeVry Institute of Technology in term 1005. It outlines the course description, objectives, required materials, policies, calendar, grading structure, and tentative schedule. The course uses an elementary statistics textbook and teaches descriptive and inferential statistical concepts to help students make data-driven decisions in business contexts. Topics include probability, sampling, distributions, confidence intervals, hypothesis testing, correlation, and regression.
This document outlines the course details for Mechanical Engineering 5680 at Ohio State University for Autumn 2015. The course will be taught by Dr. Sandra Metzler on Tuesdays and Thursdays from 11:10 am to 12:30 pm in Scott Lab E200. It will cover topics such as solid modeling, motion simulation, geometric dimensioning and tolerancing, and computer-aided manufacturing. Students will use software like SolidWorks and complete labs involving CNC machining, robotics, and injection molding. The grading will be based on homework, labs, quizzes, projects, and exams. Safety protocols are outlined for the labs.
COURSE SYLLABUSData Analysis and Reporting Spring 2019.docxmarilucorr
油
COURSE SYLLABUS
Data Analysis and Reporting
Spring 2019
I. Class
揃 Course Description: Students will gain practical experience in using advanceddatabase techniques and data visualization, data warehousing, reporting and other Business Intelligence (BI) tools. Contemporary BI tools and technologies will be used to create intelligent solutions to realistic problems.
揃 Course Objectives:
1. Effectively understand the evolution of business analytics needs and to develop an appreciation for issues in managing data/information/knowledge.
2. Apply in advanced database techniques in designing and executing complex queries in enterprise level database management information systems (Oracle,
SQL server, DB2 ).
3. Understand data warehousing administration and security issues.
4. Apply data extraction, transformation, and load (ETL) processes.
5. Administer and build reports
BI. Required Course Materials
揃 Free eBooks and other software resources will be posted on Blackboard.
揃 We use the Microsoft SQL Server 2017 in this class through a virtual machine that you can access from home or from campus.
揃 The on-campus computer lab in the business building located off the Atrium is available for student use and has the necessary computers and software. Computer lab hours can be found at: http://ualr.edu/cob/student-services/advising/advising-faq/
揃 Some of the assignments will require Microsoft Office software (e.g., MS Word, Excel, etc.). One way to get access to the MS Office software is get a free subscription to MS Office 365 ProPlus. Get the MS Office software here for free..
2
IV.
Course Grading
Course grading will be the combination of exams, term project, assignments, and quizzes. Grades are based on: A: 90~ 100%, B: 80~ 89%, C: 70~ 79%, D: 60~ 69%, F: 59 as described below. Graduate students will be evaluated using the same criteria as the undergraduate students. However, they will have to submit an additional assignments and/or extra project.
Grade Element
%
A.
Participation
10%
B.
Reading Quizzes
20%
C.
Assignments
30%
D.
Assignment Quizzes
10%
E.
Exams (three)
30%
Total
100%
A. Participation
You will be responsible for various in-class activities that will allow you to exercise your skills and knowledge, stimulate your critical thinking, and perform your assignments. You are expected to attend all the sessions, come to the class before it starts, stay in class for lectures and assignments, and participate with all class activities. Failure in any of these four areas will impact your participation grade.
Class attendance, measured as a percentage of classes attended where role is called, sets the baseline for the participation grade (e.g., 80% means you attended 8 out of 10 classes and did not leave those classes early). Additional points may be removed for non-participation in classroom activities or discussions.
揃 Class attendances will be verified at the beginning of each class. Students will be count.
This document provides a course syllabus for an online college success strategies course. It outlines the instructor contact information, course description and competencies, learning outcomes, required activities and assignments, technology needs, academic integrity policy, attendance policy, grading scale, and tentative weekly schedule. The course introduces students to strategies for self-management, use of campus resources, and academic success. Students are required to complete various assignments each week related to topics like time management, test anxiety, learning styles, and careers. They must also participate in at least 5 approved campus activities.
This document provides information about a Chromatography course offered by the Department of Chemistry at Trent University. The course consists of weekly lectures, seminars, laboratory exercises, and computer quizzes. It aims to provide an overview of modern chromatographic separation techniques, including theory, instrumentation, and applications. Students will be evaluated based on laboratory reports, assignments, and their performance on the weekly computer quizzes. The document outlines the course format, schedule, policies and evaluation criteria in detail.
This document provides the course syllabus for an online college success strategies course. The syllabus outlines the instructor contact information, course description and competencies, student learning outcomes, required materials, assignments and activities, technology needs, academic integrity policy, attendance policy, grading scale, and tentative course calendar. The course aims to help students develop strategies for academic and career success through assignments such as creating a Starfish profile, completing library and campus activities, participating in online discussions, and meeting with an advisor. Students will earn points toward their final grade by completing pre-tests, weekly attendance checks, assignments related to time management, test anxiety, and diversity awareness.
This 3-sentence summary provides the essential information about the course syllabus:
This 3-credit, Technology for Teachers course meets on Tuesdays and Thursdays from 2:30-3:45 pm in room NKM 117. The course introduces students to integrating instructional technology into K-12 classrooms and focuses on software, presentation tools, and issues related to technology use. Grades are based on technology-focused assignment projects completed throughout the semester, which are worth 80% of the final grade, and a comprehensive final exam worth the remaining 20%.
This document provides information about a robotics course taught by Mr. Joslin at New Hampton School. The course covers three competencies: design, programming, and process. Students will learn to design and build robots using mechanical components like gears and motors. They will program robots using a visual programming language. The course involves individual and group projects where students design, build, program and test robots. It is a self-paced course where students progress through instructional videos, exercises and projects at their own speed within unit deadlines. Assessment is competency-based. The final project involves students working in teams to independently design, build and program a robot to complete a challenge of their choosing.
Course InformationCourse Number and TitleMG6615 OperatioCruzIbarra161
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Course Information
Course Number and Title:MG6615 Operational Planning and Policy (CRN 228) Term and Year:Fall I 2021
Term Dates:August 23rd, 2021 December 12th, 2021
Delivery Method:Online with Virtual Residency Meeting Place and Time:Online via Blackboard and Zoom
Live Session:You will be contacted by your LIVE Residency Instructor. This individual
may/may not be the instructor for your Blackboard course. Please be sure to check your NEC email daily. LIVE Zoom Faculty will reach out in weeks 3 or 4 of the term. Students will meet during the term to complete the required 8 hours of LIVE Zoom contact. In accordance to federal and campus guidelines in response to COVID, these sessions are all required and replace the Henniker Residency that has been moved online due to COVID. In addition to the 8 hours of LIVE Zoom instruction, you have 10 hours of self-directed research to assist in your studies for your required 18 hours of residency for this course.
Credits:3
Prerequisites:N/A
Instructor Information
Faculty Name:Dr. Sherwin L. Stewart
Email Address:[email油protected]
Phone Number:423-665-9701. I am available Thursdays, 7p.m. 8p.m. EST, or by appointment Response time:I will respond within 24 hours.
Required Materials and Textbook(s)
Thompson Jr. A. A, Peteraf, M. A., Gamble, J. E., and Strickland III, A. J. (2022). Crafting & Executing Strategy: The Quest for Competitive Advantage: Concepts and Cases. 23rd Edition. McGraw-Hill. ISBN: 978-1-260-73517-8
STRATSIMMANAGEMENT Strategic Management Simulation
Available for purchase via eCampus, NECs Online bookstore
Note: Students will receive a welcome email from Interpretive Simulations that will contain a unique user ID and password for each student, as well as instructions on how to log in, register, and gain access to (redeem the access code from eCampus) their resources and simulation. It is highly recommended that students log in and complete the registration as soon as possible to get quickly acclimated to the simulation part of this course. Please note:
揃 Students cannot register their accounts before Interpretive Simulations receives their contact information from their instructor.
揃 Students who purchase the access code early (weeks ahead of time) from eCampus will have to wait until the instructor provides the name/email list in order to receive the Welcome email with their user ID and password.
揃 Students need to keep track of their access code (it will be sitting in their eCampus account in their digital bookshelf) until the time comes to register at start of term.
Once students begin the simulation during week 9, they will be put in teams of 2 or 3 to complete each of ten
(10) simulated moves (approximately 2 per week) over a 5-week period. There will be a brief quiz during week 8 to measure students understanding of the simulation tool and situation. This is designed to have students quickly study the initial case and get acclimated to the simulation tool prior to group wor ...
This 3 credit hour course titled "Technology for Teachers" meets on Tuesdays and Thursdays from 2:30-3:45pm in room NKM 117. The course focuses on helping future teachers learn how to integrate instructional technology into K-12 classrooms. Students will study software programs, presentation tools, and telecommunication tools, as well as social, ethical, and legal issues related to technology use. The course involves various projects using technological tools. Grades are based 80% on assignment projects and 20% on a comprehensive final exam. The syllabus outlines course objectives, policies on attendance, late work, and other relevant information.
rate the core knowledge and skills of project 油management (P.docxtemplestewart19
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rate the core knowledge and skills of project 油management (PM). Rubric-based assignment s油
, projects, and/or exams . 油油Apply common and current t ools to project management 油t油
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TEXTBOOK
: Informa t ion Technology Pro ject 油Management, 8th edition, by Kathy Schwalbe . 油Published by C ours e Technology Cen gage Learning. 油油
SOFTWARE AND SYSTEM REQUIREMENTS:
A fully functioning version of Microsoft Project 2油
013/2016 is required for this course. Students must have access to 油油
this 油so ft w a re by the first day 油油
of the quarter and the program must be available until the last day of the q uarter. MS Pr o油
j油
ect runs on a W indows OS, on a 油油B o ot -Camp p a油
Windows. You can download the software for free under the ITAM Departments 油Microsoft Imagine 油account. 油油油
Important Not e: 油油
In past quarters, some students have encountered problems accessing 油Imagine 油油which has 油prevented those students 油from downloading MS Project 2016 油油in the first module of the course. Each 油student must put a backup plan into place if this problem is experienced. Two different solutions to the 油problem are available to each student: 油油
1. 油Make use of the CWU computer labs that have Project 油2016 . There are labs at the Main CWU 油Campus and the Satellite Campuses that run Project 油2016 . Please use the labs to stay current in the 油class while the details of your 油Imagine 油油account is being addressed. 油油
2. 油Download the 油30 - day 油油trial version of Project 2016 油油from 油Microsoft to your home computer while the 油details of your 油Imagine 油油account is being addressed. After you have gained access to 油Imagine , you 油should be able to use the software key to unlock your trial version or you can simply re - download 油the software follow ing the instructions on the 油Imagine 油油website. Extensions will not be granted for 油assignments missed in the first module of the course because of difficulty with the 油Imagine 油油account 油subscription. 油油
Grading 油油
Grading scale: 油油
A = 93% 油油油油A - 油油= 90% 油油B+ = 87% 油油油油B = 83% 油油油油B - 油油= 80% 油油
C+ = 77% 油油C = 73% 油油油油C - 油油= 70% 油油油油D+ =67% 油油D = 63% 油油
D - 油油= 60% 油
Individual Assig n m油
ents 30% In-Class Activities 20% Team Project 35% In-Class 油Quizzes 15% Total 100%
Co urse Policies: 油I reserve the right to make changes to this document, the syllabus, clas.
This document provides the syllabus for a Health and Wellness course at Salem State University. The course will be taught by Dr. Brian Witkov on Mondays, Wednesdays and Fridays from 7:50-8:50am or 8:50-9:50am in room 214 of the O'Keefe building. Students will use the textbook "Your Health Today" and be assessed based on attendance, in-class activities, pop quizzes, homework, and three tests. The course aims to help students develop critical thinking around wellness, integrate multiple dimensions of wellness into their lives, and empower positive health behaviors. Reasonable accommodations will be provided for students with disabilities.
This document outlines the policies and course details for ECO501 Business Economics Analysis & Forecasting. Key points include:
- The course covers economic concepts, analysis, forecasting techniques and their application to business decision making.
- Assessment includes two case studies, class participation, and a final exam evaluating understanding of course concepts.
- Topics range from supply/demand and elasticity to regression models, correlations, and time-series forecasting.
- Students are expected to attend lectures, participate actively, and complete all assessments by the scheduled due dates.
This document provides the syllabus for an introductory course on architectural building technologies. The course will introduce students to building structure, enclosures, and interior environments. Students will learn about factors influencing building systems, codes and standards, structural and thermal impacts on interiors, principles of lighting and acoustics design, and integrating building systems evaluations. The course will include assignments, projects, quizzes, and discussions assessed on an 1000 point scale. The instructor's contact information and policies on submissions, late work, communication, and academic integrity are also outlined.
This document outlines the syllabus for an introductory microeconomics course taught at Alfaisal University. It provides information about the instructor, class times and locations, required textbook, course description and objectives, assessment methods, policies on attendance, plagiarism, and grading. Students will learn basic microeconomic concepts through lectures, readings, videos, and exams. Grades are based on three exams during the course and in-class assignments, with the option to take a comprehensive final exam. University policies on attendance and academic integrity are also summarized.
This document is a course syllabus for Administrative Office Management at Cleveland Community College. It provides information on the course description, requirements, goals, instruction methods, student learning outcomes, evaluation criteria, attendance policy, grading scale, and important dates. The course is designed to provide a working knowledge of modern office procedures and prepare students to adapt in an office environment. Students will learn skills such as scheduling, telephone procedures, travel arrangements, and document management. Evaluation will include exams, assignments, presentations, class participation, and a journal.
How to Build a Speed Sensor using Arduino?CircuitDigest
油
Learn how to measure speed using IR sensors in this simple DIY project. This tutorial cover circuit diagram, Sensor calibration and speed calculations and optimized Arduino code for real time speed measurements.
This PPT covers the index and engineering properties of soil. It includes details on index properties, along with their methods of determination. Various important terms related to soil behavior are explained in detail. The presentation also outlines the experimental procedures for determining soil properties such as water content, specific gravity, plastic limit, and liquid limit, along with the necessary calculations and graph plotting. Additionally, it provides insights to understand the importance of these properties in geotechnical engineering applications.
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Uses established clustering technologies for redundancy
Boosts availability and reliability of IT resources
Automatically transitions to standby instances when active resources become unavailable
Protects mission-critical software and reusable services from single points of failure
Can cover multiple geographical areas
Hosts redundant implementations of the same IT resource at each location
Relies on resource replication for monitoring defects and unavailability conditions
The Uni-Bell PVC Pipe Association (PVCPA) has published the first North American industry-wide environmental product declaration (EPD) for water and sewer piping, and it has been verified by NSF Sustainability, a division of global public health organization NSF International.
Algorithm design techniques include:
Brute Force
Greedy Algorithms
Divide-and-Conquer
Dynamic Programming
Reduction / Transform-and-Conquer
Backtracking and Branch-and-Bound
Randomization
Approximation
Recursive Approach
What is an algorithm?
An Algorithm is a procedure to solve a particular problem in a finite number of steps for a finite-sized input.
The algorithms can be classified in various ways. They are:
Implementation Method
Design Method
Design Approaches
Other Classifications
In this article, the different algorithms in each classification method are discussed.
The classification of algorithms is important for several reasons:
Organization: Algorithms can be very complex and by classifying them, it becomes easier to organize, understand, and compare different algorithms.
Problem Solving: Different problems require different algorithms, and by having a classification, it can help identify the best algorithm for a particular problem.
Performance Comparison: By classifying algorithms, it is possible to compare their performance in terms of time and space complexity, making it easier to choose the best algorithm for a particular use case.
Reusability: By classifying algorithms, it becomes easier to re-use existing algorithms for similar problems, thereby reducing development time and improving efficiency.
Research: Classifying algorithms is essential for research and development in computer science, as it helps to identify new algorithms and improve existing ones.
Overall, the classification of algorithms plays a crucial role in computer science and helps to improve the efficiency and effectiveness of solving problems.
Classification by Implementation Method: There are primarily three main categories into which an algorithm can be named in this type of classification. They are:
Recursion or Iteration: A recursive algorithm is an algorithm which calls itself again and again until a base condition is achieved whereas iterative algorithms use loops and/or data structures like stacks, queues to solve any problem. Every recursive solution can be implemented as an iterative solution and vice versa.
Example: The Tower of Hanoi is implemented in a recursive fashion while Stock Span problem is implemented iteratively.
Exact or Approximate: Algorithms that are capable of finding an optimal solution for any problem are known as the exact algorithm. For all those problems, where it is not possible to find the most optimized solution, an approximation algorithm is used. Approximate algorithms are the type of algorithms that find the result as an average outcome of sub outcomes to a problem.
Example: For NP-Hard Problems, approximation algorithms are used. Sorting algorithms are the exact algorithms.
Serial or Parallel or Distributed Algorithms: In serial algorithms, one instruction is executed at a time while parallel algorithms are those in which we divide the problem into subproblems and execute them on different processors.
Biases, our brain and software developmentMatias Iacono
油
Quick presentation about cognitive biases, classic psychological researches and quite new papers that displays how those biases might be impacting software developers.
INVESTIGATION OF PUEA IN COGNITIVE RADIO NETWORKS USING ENERGY DETECTION IN D...csijjournal
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Primary User Emulation Attack (PUEA) is one of the major threats to the spectrum sensing in cognitive
radio networks. This paper studies the PUEA using energy detection that is based on the energy of the
received signal. It discusses the impact of increasing the number of attackers on the performance of
secondary user. Moreover, studying how the malicious user can emulate the Primary User (PU) signal is
made. This is the first analytical method to study PUEA under a different number of attackers. The
detection of the PUEA increases with increasing the number of attackers and decreases when changing the
channel from lognormal to Rayleigh fading.
Common Network Architecture:X.25 Networks, Ethernet (Standard and Fast): fram...SnehPrasad2
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Cise 5300 syllabus_f16
1. 1
TENNESSEE STATE UNIVERSITY
COLLEGE OF ENGINEERING
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
COURSE DESCRIPTION OF CISE-5300
FUNDAMENTALS OF ROBOTICS
SEMESTER: Fall 2016 INSTRUCTOR: Dr. Saleh Zein-Sabatto
A. CATALOG COURSE DESCRIPTION
CISE-5300 - FUNDAMENTALS OF ROBOTICS (3). Two-dimensional and three-dimensional
transformation techniques, manipulator kinematics and dynamics, robot differential motion and control, path
planning and trajectory generation, task execution and robot programming will be discussed in details. Robot
integration and simulation tools also will be presented. Prerequisite: ENGR 5100.
B. PREREQUISITE AND CO-REQUISITE
The prerequisite for this course is a grade of C or better in ENGR-5100 (or an equivalent course). If you do
not meet the prerequisite, you must seek permission from the Instructor of the course.
C. COURSE OBJECTIVES
The principal objective of this course is to teach students the fundamental of robotics and its fields of
applications. The emphasis of the course will be on the mathematical principles behind the design, control and
operations of robots. Both mobile robots and robot manipulators will be considered. Transformation
operations relating positions and orientations in different coordinate frames will be presented. Kinematics and
dynamics models will be established. Implementation of these models in robots motion, controls and
operations, i.e., trajectory planning, mapping and localization will be explained throughout the course.
D. COMPETENCIES
1. Ability to derive transformation matrices between coordinate frames for robot operations.
2. Ability to derive kinematics model for n-degree of freedom (DOF) robots.
3. Ability to derive dynamic model for n-DOF robots and establish its control loops.
4. Ability to design simple simulation of robotics tasks and implement it on real hardware.
5. Ability to understand the principle of robotics software,programming and control.
E. DETAIL COURSE OUTLINE
Topic No. Weeks
1.0 OVERVIEW OF ROBOT MANIPULATORS 1
a. Types of Robots and Robotics Applications
b. Components of Robots
c. Manipulation vs. Locomotion
2.0 COORDINATE SYSTEMS 2
a. Cartesian Coordinates
b. Two and Three dimensional Transformations
2. 2
c. General Rotations and Translations
d. Coordinate Frames and Homogeneous Coordinates
3.0 KINEMATICS OF MANIPULATORS 2
a. Relations between Links and Joints
b. Assignment of Coordinate Frames
c. Forward Kinematics Model
d. Inverse Kinematics model
4.0 KINEMATICS OF MOBILE ROBOTOS 2
a. Wheels Kinematics models
b. Mobile Robot Kinematics Constraints
c. Mobile Robot Maneuverability
d. Mobile Robot Workspace
5.0 DIFFERENTIAL MOTION AND THE JACOBIAN 2
a. Differential Relationships
b. Differential Motion of Frames
c. The Jacobian Matrix
d. The Inverse Jacobian
5. DYNAMICS OF ROBOTS 2
a. Deriving the Kinetics Equations
b. Forces and Torques
c. Using Kinetics Models in Robot Controls
6. TASK AND TRAJECTORY PLANNING 2
a. Path vs. Trajectory
b. Manipulator Trajectory Planning
c. Navigation and Path Planning
d. Navigation Architectures
7. ROBOT LOCALIZATION AND MAPPING 1
a. Localization and Sensor Errors
b. Localization and Odometry Estimation
c. Map Representation
d. Map-Based Localization
F. GENERAL INFORMATION
Textbook:
Introduction to Robotics, by Saeed B. Niku. Prentice Hall, 2nd
Edition 2011.
Autonomous Mobile Robot, by Roland Siegwart, The MIT Press, 2nd
Edition 2011.
References:
1. Intro to Robotics Mechanics and Control, John Crage,Pearson Prentice Hall, 2005
2. Intro to Robotics, Phillip J. McKerrow,Addison Wesley, 1991
3. Introduction to Robotics, by John J. Crage. Addison Wesley, 1991.
4. Introduction to Robotics, Arthur J. Critchlow; MacMillan, 1985.
5. Robot Technology Theory, Design and Applications, Anthony C. McDonald, Prentice-Hall, 86.
3. 3
Grading Policy:
Homework 15% 90-100% A
Pop Quiz 0% 80-89% B
Tests 25% 70-79% C
Design and Simulation 30% 60-69% D
Final Exam 30% 0-59% F
Class Attendance: Class attendance is required. The University's Policy on Excessive Absences will be
followed. All students are requested to review the policy on Excessive Absences found in the TSU graduate
most recent Catalog. Students are responsible for all assignments, announcements and materials presented
during the class.
Homework: Homework will be assigned according to the course plan's handout. Due date is as specified in
the course plan. All homework and assignments should be submitted in class. Work submitted in mailbox or
slipped under the door will not be accepted. Any late work will be graded according to the following formula;
(100-10xn), where "n" is the number of late working days. No credit will be given for the work submitted after
the day of final exam. Assignment may be worked with fellow students and/or in problem sessions, but the
work handed-in should reflect the student's understanding of the problems. Copying from others or from the
AnswerBook will result in loss of credit. All homework must display the characteristicsof professional quality
work and follow the Scientific Problem Solving Method Format. Samples will be provided in the class. Failure
to comply with any of the above instructions will affect your grade on homework or any other work.
Projects: Must be student's own work and be neatly reported in the format provided. Projects due dates will
be announced in class.
Tests:All work is to be done and recorded in Blue Books (large). Any hint of cheating will be dealt with
according to the TSU student's Honor Code. Students who miss (or expect to miss) any test for compelling
reasons, should contact instructor as soon as possible. Generally, make-up test will not be given.
Class Meetings: MW 3:55-5:20 p.m. in ET 218
H. CLASS POLICIES AND EXCESSIVE ABSENCES
1. Instructor reserves the right to modify the percentage grade distribution if required.
2. The evaluation of written report will be based on the proper usage of grammar, syntax, composition and
structure of the report.
3. Design project must include analytical theories and design calculations.
4. Graphical presentation of the design project will be evaluated as a component of the design project and
must be done by computer.
5. All class assignments must be submitted on time. Late work generalwill not be accepted,except in real
emergencies beyond the control of the student. (Severe illness or family emergencies, but not other class
assignments).Late is defined as later than the date and time provided by the instructor for any particular
assignment.
6. All class assignments must be submitted in class and not in the instructors mailbox or under the
instructors office door.
7. All works must reflect the student's or the team's original and own work. Any hint of copying from
internet or sharing information among students will result in given zero grade to the assignments for
all involved students.
4. 4
EXCESSIVE ABSENCES
The Policy on Excessive Absences as printed in current Undergraduate Catalog will be followed. Students are
expected to attend classes regularly. Instructors will keep an accurate record of class attendance and be able
to report, on official request, the number of absences of any student in class. At any time from the beginning
of classes and instructor may report a student for unsatisfactory attendance. Reporting a student is at the
discretion of the individual instructor with the understanding that excessive absence is defined as no less
than one more than the number of times a class meets per week. Any student reported for excessive absence
from class will be barred from further attendance in that class until the student is formally re-admitted by the
University.
CLASSROOM EXPECTATIONS
You are expected to arrive before the class is scheduled to begin and remain in your seat during the entire
scheduled class time. You are not to use tobacco products, including smokeless tobacco. Do not bring food or
drink (except you may bring bottled water) into the class. Do not abuse the furniture or fixtures in the
classroom. If you have a cell phone with you, silence the ringer before coming to class.
DISABILITY ACCOMMODATION STATEMENT
TSU is committed to creating inclusive learning environments and providing all students with opportunities
to learn and excel in their course of study. Any student with a disability or condition which might interfere
with his/her class performance or attendance may arrange for reasonable accommodations by visiting the
Office of Disability Services (ODS). ODS is located in Kean Hall, room 131 and can be reached at 963-7400
or www.tnstate.edu/disabilityservices. You will be required to speak with ODS staff and provide
documentation of the need for an accommodation. If you qualify for an accommodation you will be provided
with a document stating what type of classroom accommodations are to be made by the instructor. It is your
responsibility to give a copy of this document to the instructor as soon as you receive it. Accommodations
will only be provided AFTER the instructor receives the accommodation instructions from ODS;
accommodations are not retroactive. You must follow this process for each semester that you require
accommodations.
SEXUAL MISCONDUCT, DOMESTIC/DATING VIOLENCE, STALKING
TSU recognizes the importance of providing an environment free of all forms of discrimination and sexual
harassment, including sexual assault, domestic violence, dating violence, and stalking. If you (or someone
you know) has experienced or is experiencing any of these incidents, there are resources to assist you in the
areas of accessing health and counseling services, providing academic and housing accommodations, and
making referrals for assistance with legal protective orders and more.
Please be aware that most TSU employees, including faculty and instructors, are responsible employees,
meaning that they are required to report incidents of sexual violence, domestic/dating violence or
stalking. This means that if you tell me about a situation involving sexual harassment, sexual assault,
dating violence, domestic violence, or stalking, I must report the information to the Title IX
Coordinator. Although I have to report the situation, you will still have options about how your situation
will be handled, including whether or not you wish to pursue a formal complaint. Our goal is to make sure
you are aware of the range of options available to you and have access to the resources you need.
You are encouragedto contactTSUsTitle IXCoordinator to report any incidents of sexualharassment,sexual
violence, domestic/dating violence or stalking. The Title IX coordinator is located in the Office of Equity and
Inclusion, McWherter Administration Building, Ste. 260 and can be reached at 963-7494 or 963-7438. For
5. 5
more information about Title IX and TSUs SART or policies and procedures regarding sexual,
domestic/dating violence and stalking please visit: www.tnstate.edu/equity.
If you wish to speak to someone confidentially, who is not required to report, you can contact the TSU
Counseling Center, located in the basement of Wilson Hall, at 963-5611 or TSU Student Health Services,
located in the Floyd Payne Campus Center room 304, at 963-5084. You may also contact the following off
campus resources: Sexual Assault Center of Nashville at 1-800-879-1999 or www.sacenter.org or the
Tennessee Coalition to End Domestic & Sexual Violence at 615-386-9406 or www.tncoalition.org .
HARASSMENT & DISCRIMINATION
Tennessee State University is firmly committed to compliance with all federal, state and local laws that
prohibit harassment and discrimination based on race,color, national origin, gender, age, disability, religion,
retaliation, veteran status and other protected categories. TSU will not subject any student to discrimination
or harassmentand no student shall be excluded from participation in nor denied the benefits of any educational
program based on their protected class. If a student believes they have been discriminated against or harassed
because of a protected class, they are encouraged to contact the Office of Equity and Inclusion at McWherter
Administration Building, Ste. 260, 615-963-7494 or 963-7438, www.tnstate.edu/equity.
H. INSTRUCTOR INFORMATION
Name: Dr. Saleh Zein-Sabatto
Office Location: ET-214-B
Telephone: 963-5369
E-mail: mzein@tnstate.edu
Office Hours: Will be posted on the door of the office of the ECE Department