1. CSIS-385: Analysis of Algorithms Dr. Eric Breimer

2. Course Info CSIS-385: Analysis of Algorithms (Spring 2007) Lecture: Monday, Wednesday and Friday, 9:20AM - 10:15PM, RB302 Website: http://www.cs.siena.edu/~ebreimer/cour ses/csis-385-s07/ http://www.cs.siena.edu/~ebreimer/cour ses/csis-385-s07/ OR use Google  “Dr. Eric Breimer”

3. Instructor Dr. Eric Breimer ebreimer@siena.edu 786-5084 RB 311 Office Hours: Mon, Wed, & Fri 10:15 - 11:15 AM Tues & Thurs 1:30 - 2:25 PM

4. Textbook Algorithms, 1/e –Richard Johnsonbaugh and –Marcus Schaefer

5. Prerequisites CSIS-210 MATH-250

6. Topics Mathematics for Algorithms: Order Notation, Mathematic Induction, Recurrence Relations, Graph and Tree Notation Data Structures: Stacks & Queues, Linked Lists, Binary Trees, Priority Queues, Heaps, and Heapsort Searching Techniques: Binary Search, DFS & BFS, Topological Sort, Backtracking

7. Topics Divide and Conquer Algorithms: Mergesort, Closest Pair Problem, Matrix Multiplication Sorting and Selection Algorithms: Insertions Sort, Quicksort, Radix Sort Greedy Algorithms: Kruskal's and Prim's Algorithms, Dijkstra's Algorithm, Huffman Codes, Knapsack Problem

8. Topics Dynamic Programming: Matrix Multiplication, Longest Common Subsequence Problem, Floyd and Warshall Algorithms Text Searching: KMP Algorithm, Boyer- Moore-Horspool Algorithms, Approximate Pattern Matching P and NP Problems: Graph Coloring, Hamiltonian Cycles, TSP, Satisfiability, Independent Set, and Cliques

9. Grading Your final numeric average will be based on the following weights: 40% Homework 30% 2 Exams 20% Final Exam 10% Lecture Attendance & Participation

10. Letter grades A 93.0 or higher avg. 90.0 or higher on the final exam A- 90.0 or higher B+ 87.0 or higher B 83.0 or higher B- 80.0 or higher C+ 77.0 or higher C 73.0 or higher C- 70.0 or higher D+ 67.0 or higher D 63.0 or higher D- 60.0 or higher F less than 60.0

11. Homework (40%) At least 6 homework assignments. Each homework –Can include as many a 45 problems from the book –Can take 20+ hours of work Some homework will include a small programming “task” Start early: if you start the day before it is due, you are doomed!

12. Exams (30%) 2 exams (15% each) Look on the schedule for the dates Don’t miss these dates unless you –Are so sick that you have to see a doctor. –Have contacted student affairs with a serious personal emergency.

13. No Late Homeworks Homework must be submitted at the beginning of lecture on the due date –or you can submit it before the due date. If you are absent or late for lecture when an assignment is due, you will recieve a grade of zero unless you get it to me ahead of time. I highly recommend that students plan ahead to start assignments as soon as possible.

14. Final Exam (20%) A cumulative final exam will be given during finals week. To receive an A in this course, you must score a 90 or higher (after curving) on the final exam.

15. Attendance and Participation (10%) 1% penalty for second absence. additional 3% penalty for every absence after the second –maximum of 10%. For example –missing 5 lectures is 10% –missing 4 is 7%; –missing 3 is 4%, –missing 2 is 1%.

16. Attendance Policy You are expected to attend every class. Be aware of the following penalties: –You can receive up to a 10% penalty toward you final average for excessive absence and/or lateness. –In addition: An unexcused absence on the day will result in a zero on an exam (15%)

17. Excused Absences You can be excused (not penalize) and allowed to makeup missed work for serious issues. For illness or medical emergencies, show documentation (a doctor's note). For family emergencies or other serious commitments, contact student affairs or the counseling center. If you are concerned that an absence will not be excused, you should contact the instructor as soon as possible.

18. Academic Integrity Cheating on a homework or an exam will result in –an automatic grade of zero –a letter grade reduction on your final grade. Second offense –automatically failure the course –formal letter send to the academic affairs

19. Academic Integrity For individual work: –You can discuss the problems and general ideas for how to approach a problem –But, your solution should be your own work and you should guard it from plagiarism. –Never compose your answers with the help of other students or tutors. –Excessive similarity in homework answers will be consider plagiarism. –If you can not adequately explain your solution to a problem, you will receive a zero for that problem.