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Syllabus CS765: Intro to Database Systems 3208 F07 T Th 2-3:15PM, IACC 102 course web site:course web site Text Database Management.

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Presentation on theme: "Syllabus CS765: Intro to Database Systems 3208 F07 T Th 2-3:15PM, IACC 102 course web site:course web site Text Database Management."— Presentation transcript:

1 Syllabus CS765: Intro to Database Systems 3208 F07 T Th 2-3:15PM, IACC 102 william.perrizo@ndsu.edu course web site:course web site Text Database Management Systems Ramakrishnan/Gehrke, 3rd edition. October(9:21) 2 4 9 11 Exam II 16 18 23 25 30 November(8:29) 1 Exam III 6 8 13 15 20p 27p 29p December(5:34) 4p 6p 11 1-5 PMp Final and Paper are due 5PM Dec 11 Schedule August(4:4) 21 23 28 30 September(8:12) 4 6 11 13 18 20 Exam I 25 27

2 COURSE DESCRIPTION Topic coverage includes: Intro. to DBMSs, Data Sets, DataMining, Retrieval, Relational Data Structures, Transaction Processing, Recovery, Distributed DBMS, Querying, Normalization, Security. COURSE OBJECTIVES: Understand the fundamentals of database systems. Gain experience in database research and in verbal and written reporting of it. PAPER/PRESENTATION: Each student will pick a topic (some example topics and topic areas are at Possible Topics or your own RESEARCH topic (must be a new RESEARCH idea of yours, NOT A PRESENTATION OF IDEAS FROM SOME PAPER written by someone else).Possible Topics Research the topic, write a quality paper and give a quality 15 minute presentation on it during a student selected presentation slot at the end of the course. Topics will to be approved 1st-Come-1st-Serve (abstract to william.perrizo@ndsu.edu) Presentations will be judged on contribution, level of current research interest, depth, correctness, clarity, and insight. Hand in your paper in hardcopy or by posting it on the web and emailing the URL to me. (see guidelines).guidelines

3 COURSE DESCRIPTION continued EXAMs I II and III will be cummulative 1 hour exams covering all the material presented to the class since the beginning of the term, but emphasizing material presented since the last exam. FINAL: The final can be started any time but is due Dec. 11 at 5 PM. From the EXERCISES in the text at the end of each chapter, you will be given a set from which you will pick 10 to solve. Hand your hardcopy solutions to me. Which set can you pick from? Translate the text number into a consecutive sequence number (csn) as follows: EXERCISES are numbered 1.1, 1.2,... Convert to a csn number by prefixing 0 for all exercises from 1-9 in each chapter, then removing the decimal point (eg, 2.1 -- > 201 3.11-- > 311). Use the simple Mod hash function to determine the set of csn's from which you will pick exercises: Each student will get a personal number (pn). Divide the csn by 43, 48, and 51 If any remainder is your personal number, pn, you are allowed to choose that csn. The REVIEW QUESTIONS are also included. Each REVIEW QUESTION starts with a square bullet symbol (they occur just before EXERCISES in each chapter). They're csns are 51, 52, 53... in each chapter (Converted to csns as above (eg, on pg 51 REVIEW QUESTIONS are numbered 2.51(Name the..) 2.52(Define these ter..) 2.53(Define the fo..).. 2.57(What is UML..)

4 COURSE DESCRIPTION continued REQUIRED MATERIALS: text and email, WWW access are required. STUDENTS NEEDING SPECIAL ACCOMMODATIONS or who have special needs are invited to share that information with the instructor. PREREQUISITES: CS366 or equiv. Student must be able to read and follow technical, detailed instructions and adapt solutions. ACADEMIC HONESTY: Work must be completed in a manner consistent with NDSU Senate Policy 335: Code of Academic Responsibility and Conduct. The goals of this course include to initiate graduate student's into data and database systems research and to enhance graduate student's presentation skills of their research. Additional reference material on most topics in this course can be found on the web by doing a google (or Yahoo or Ask) search on the appropriate keyword(s) and also by using the NDSU library. Good luck in your 765 course!

5 GRADUATE SCHOOL GRADUATE SCHOOL, COLLEGE, TECHNICAL/PROFESSIONAL SCHOOL RELATIONSHIP in a UNIVERSITY Universities, by definition, integrate research, teaching and service. The Graduate school at a University has the primary responsibility for research. A College has the primary responsibility for teaching. A Vocational, Technical and Professional School has primary responsibility for training in the use of specific existing tools of a trade, area or profession. This is a Graduate School course which will focus on research. Don't be frightened away by the word research. Even though 765 may be in your first graduate course, you have already been doing research for a long time, so it won't be entirely new to you.

6 RESEARCH Research is just another word for active learning. There is really little difference between active learning and research, sometimes with the slight difference that, early on, most concepts that you research have been pre-researched by others, while, later on, most concepts that you research have not been pre-research by others. In both cases, the instructor advisor or guides, the student masters context, background and language of the area, and developes new or improved solutions to questions and problems. A researcher takes the point of view: There's almost always a better way to do anything. A good researcher questions the prevailing methods and challenge the current practices in an attempt to find a better way. I like to call it finding a new, killer idea and then taking the responsibility to prove that it is killer.


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