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06-11337 Introduction to Computer Science A Professor Uday Reddy U.Reddy@cs.bham.ac.uk

06-11337 Introduction to Computer Science A Professor Uday Reddy U.Reddy@cs.bham.ac.uk. Intro to Computer Science. 2-Semester Linked Module (A and B) The second semester will be taught by Dr. Martin Escardo. Combined final exam for both the semesters. Assessment.

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06-11337 Introduction to Computer Science A Professor Uday Reddy U.Reddy@cs.bham.ac.uk

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  1. 06-11337Introduction to Computer Science AProfessor Uday ReddyU.Reddy@cs.bham.ac.uk

  2. Intro to Computer Science • 2-Semester Linked Module (A and B) • The second semester will be taught by Dr. Martin Escardo. • Combined final exam for both the semesters.

  3. Assessment • Continuous Assessment 20% (classwork & homework) • Midterm exams 10% (“class tests”) • Final exam 70%

  4. Format 2 Lectures each week Monday: Avon Room Tuesday: Physics, Large Lecture Theatre 1 Exercise class in smaller groups (Fri) classwork exercise to be completed. Group assignments will be posted next week (Demonstrators available to answer questions) 1 Homework exercise (Tue  Tue)

  5. Format • 8 pairs of exercises per semester (estimated) of which 7 best will be counted • 2 midterm exams in semester 1 • 1 midterm exam in semester 2 • Final exam in May covers both semesters (roughly 40% for semester 1, and 60% for semester 2)

  6. What is expected of you • Attend lectures: pay attention, take notes. • Study at home: 2-3 hours per every hour of lecture. • Review the lecture material • Work on exercises • Make a note of difficult points • Come prepared for the exercise class. • Submit homework on time. • Have fun while learning!!!

  7. Course material • Course home page http://www.cs.bham.ac.uk/~udr/Intro/ (linked from Modules page & my home page) • Lecture handouts in every lecture • Recommended text: Computing Science - An Overview, by G. Brookshear. Any edition. Copies in CS library. Bookstore.

  8. What this course is about • Fundamental concepts of computer science. • Algorithms (Precise descriptions of problem-solving methods). • Internal structure of computers. • How algorithms & programs are based on this structure. • Algorithm performance. • Algorithm design techniques.

  9. Announcement • The lecture next Monday, 7/10/2002, is cancelled. • Please pick up a copy of the Exponents and Logarithms handout from the CS library. • Study it and think about the exercises. • The next lecture will be on Tuesday, 8/10/2002.

  10. Batcher’s Merge

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