CS 4349-001: Advanced Algorithm Design and Analysis

Spring 2021, M/W 10:00AM - 11:15AM, online through eLearning, Blackboard Collaborate Ultra

 

Instructor: Ovidiu Daescu
Office: ECSS 4.708
Phone: (972) 883-4196
E-mail: daescu@utdallas.edu
Office Hours: Wednesday 12:00pm-1:00pm online on eLearning Collaborate and additional by request (email)
URL: http://www.utdallas.edu/~daescu

Teaching Assistant: Ka Yaw Teo
Office:
Office Hours: Tu/Th 10-11am
E-mail: kyt140130@utdallas.edu

Textbook: Introduction to Algorithms, T.H. Cormen, C.E. Leiserson and R.L. Rivest, Third Edition, Mc Graw Hill.

Additional resources:


SACS version of syllabus

Announcements:

  • Grading Policy

    Homeworks 20%
    Midterm 1 40%
    Midterm 2 40%


    Grades A-, A, A+ 80 - 100%
    Grades B-, B, B+ 60 - 80%
    Grades C-, C, C+ 40 - 60%



    Your final grade (Final1) will be based on your score in Homeworks, Midterm1, and Midterm2. If you are not happy with your performance you can take a comprehensive Final exam (Final2), during the final exam week, as scheduled by the University. In this case, your final grade will be calculated from the average of Final1 and Final2

    Important Dates:

    Lecture notes

    Homeworks:

    Late Submission and Attendance Policy

    All homeworks should be submitted by their due date in order to be considered for full credit. Exceptions can be made for valid medical reasons. Late submissions are not permitted once the graded homework has been returned to students, or the solution to the homework has been provided (whichever is earlier). If a student is unable to take the examinations or quizzes on their scheduled dates, he/she should inform the instructor well in advance. Makeup examinations will be scheduled only if the student has a valid medical excuse.

    Link to informations about academic dishonesty