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This document provides information about the Advanced Topics in Database Management course. The course will cover topics such as data integration, distributed and parallel databases, NoSQL and NewSQL databases, and cluster computing. Students will complete homework assignments, present on database tools, and work in groups on a term-long research project. The course will include lectures, demos, labs, a midterm exam, and a final exam.
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![What this class is about
Prerequisites:
You know what a relational database and a database
management system are (INFSCI 2710)
Do you think that [one] [R]DBMS on [single] machine is
enough to handle todays volume, velocity and variety
of the data?](https://image.slidesharecdn.com/41b2cb4f-b6ea-4898-b3f9-56ce70317f15-150207105908-conversion-gate02/85/Intro-3-320.jpg)
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This document provides information about a program evaluation course, including instructor details, course description, objectives, requirements, and schedule. The instructor is Dr. Doug Hall and the course will use Blackboard for online instruction. Students must complete 3 written assignments, weekly discussion board participation, and a proctored final exam. The final exam must be proctored according to Troy University's policy using a remote proctor device, testing center, or approved proctor. The syllabus outlines technology requirements, textbooks, weekly topics, assignment due dates, communication policies, and grading criteria.How will the MOOC Change Between Now and 2020?
How will the MOOC Change Between Now and 2020?Charles Severance
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This document discusses how MOOCs may change between now and 2020. It notes that while early MOOCs were scheduled like traditional courses, self-paced MOOCs now have advantages over scheduled models. It also explores revenue models for MOOCs, like charging for verified certificates, and how course development works in a cycle of semesters. Issues like discussion forums that don't last and needing clean content are challenges for self-paced courses. The role of teachers may also change as community TAs help lead discussions in various global locations. By 2020, MOOCs could evolve even further beyond the self-paced model currently used.Assessment Forum 2013 - Columbia University Libraries - 13_0620
Assessment Forum 2013 - Columbia University Libraries - 13_0620jeffreylancaster
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This is a series of presentations for the CUL/IS Assessment Forum 2013 detailing work and tips on: an observational study, Lenel entry data analysis, KeyServer data analysis, and a skills assessment and training program.Wk1 - L1.ppsx
Wk1 - L1.ppsxSobiaShujaat2
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This document provides an introduction and overview for the course "Computer and Problem Solving - DISC 112". The course aims to improve students' problem solving and decision making skills using computers. It will have both lecture and lab components. Lectures will cover theory and key concepts while labs will focus on developing skills in Excel and Python. The course objectives are to develop an understanding of managing information technology, introduce modeling and data representation using tools like Excel, and teach basic computer programming fundamentals. Students will be assessed through class participation, labs, quizzes, midterms and a final lab exam. Communication with instructors and teaching assistants will be via email, office hours and WhatsApp groups. Students are expected to be professionalTLC2016 - A showcase of using BB LEARN in large courses
TLC2016 - A showcase of using BB LEARN in large coursesBlackboardEMEA
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Presenter: Robert Rozier
Organisation: Hanze University Groningen
Description: At the School of Communication Media and IT eduction is structured in integrated domains.
Web programming is one of these domains. Students have to attend a number of different courses. Courses are subdivided into lectures and practicals, demand that online instructional videos are to be viewed and have formative tests at regular intervals. The ramifications are that heavy burden is placed on the LMS since it has to both incorporate all the different courses, projects, assignments, and has to allow for attendance registration. The number of users and of roles is high. We will present a show case of how to structure a course in BB thus reducing this complexity especially for instructors.Intro
- 1. INFSCI 2711 Advanced Topics in Database Management Instructor: Evgeny Karataev
- 2. The instructor Evgeny Karataev Where/how to 鍖nd: In class: Tuesdays, 12:00 noon - 2:50 pm, IS 403 Of鍖ce Hours: online and by appointment email: epk8@pitt.edu
- 3. What this class is about Prerequisites: You know what a relational database and a database management system are (INFSCI 2710) Do you think that [one] [R]DBMS on [single] machine is enough to handle todays volume, velocity and variety of the data?
- 4. What this class is about Topics that will be covered in this class: Data Integration (OLAP and Data Warehousing, Virtual Data Integration) Distributed and Parallel Databases (including distributed transactions and query execution) NoSQL databases, NewSQL databases (Main Memory Databases) Cluster Computing (Hadoop and other animals, Spark)
- 5. The textbooks Too many to list here there is no single book that covers all topics so I will post selected chapters of online available books, blog posts and research papers before or after each lecture
- 6. Class components Lectures/Demos/Labs Homework Assignments Students DB tools overview presentations Term Research & Development Project Midterm exam Final exam
- 7. Lectures/Demos/Labs Lectures slides will be available online usually a day before the class. Sometime you might be asked to bring your laptop to the class for lab work. Sometimes I will do demos of the DB systems related to the class material.
- 8. Homework Assignments So far I planned 4 assignments fairly well spread over the semester. However this might change to 5, 6 or 3. Assignment are usually very practical and are based on the material learned in the class. You might be need to do some programing. All assignments need to be submitted ONLINE (assignments will have submission instructions) All assignments are group based (2 or 3 people per group)
- 9. Students DB tools overview presentations Each student (or maybe in groups of 2 or 3) will have to make 10 minutes presentation about a database system sometime during the term (I will provide the list of the database systems). The presentation must include: Architecture/Main idea/Main approach. Advantages and Disadvantages. How it differs from other systems. When it is applicable and when not. Where to learn more about it.
- 10. Term Research Project An original R&D project in groups of 5-6 people Most probably a lot learning and programming In class project progress reports/demos every other week (up to 15 minutes max) One 鍖nal written report One 鍖nal demo Project ideas will be provided by me, but you are welcome to propose yours Projects development will be managed via github
- 11. Exams Both Midterm and Final exams are open notes, but no computers and/or phones. Final exam is cumulative. No sample exam questions will be posted or distributed.
- 12. Late Policy Homework and Project reports are due at the beginning of class on the due date. Homework and project reports can be turned in the following class for a 25% penalty. Nothing will be accepted after that time.
- 13. Grading This course is being offered for three credits. The grading is as follows: Homework Assignments: 20 % DB tool presentation: 10 % Midterm exam: 20 % Project: 25 % Final exam: 25 %
- 14. Class Q&A (and more) Management System This term we will be using Piazza for class discussion. The system is highly catered to getting you help fast and ef鍖ciently from classmates, and myself. Rather than emailing questions to me, I encourage you to post your questions on Piazza. If you have any problems or feedback for the developers, email team@piazza.com. Find our class page at: https://piazza.com/pitt/ spring2015/infsci2711/home
- 15. Piazza Demo
- 16. Extra Credits to your grades Top 5 most active users on Piazza will get 5 extra points Active users are those who: ask many and GOOD questions answer questions posted by others (preferably before I answer)