(a required course for CS students)
Lectures: TR 03:30P-04:50 TL 1A
Lab: W 01:00P-02:50 CC 200
Schedule and Homework Assignments
The goal is to introduce students to hot and extremely useful topics in computational statistics with hands on experience. It provides a modern approach to probability and computational statistics with applications in data mining. Students will be able to immediately see their results with programming assignments in Matlab. Matlab is a leading programming language of scientific computing. It is broadly used in the industry and academia. No prior Matlab knowledge is required. The course offers a solid foundation for further courses in data mining, machine learning, artificial intelligence, robotics, computer vision, and in general in computational statistics and scientific computing. The course is composed of 3 hours lecture and 2 hours lab with programming assignments in Matlab.
Dekking, F.M., Kraaikamp, C., Lopuhaa, H.P., Meester, L.E., A Modern Introduction to Probability and Statistics. Second Edition. Springer 2007
ISBN: 978-1-85233-896-1
Book content and datasets
Also recommended but not required are:
Wendy L. Martinez and Angel R. Martinez. Computational Statistics Handbook with Matlab. Second Edition. CRC 2008.
Daniel T. Kaplan. Introduction to Scientific Computation and Programming. Thomson 2004.
Math 1042 (0086) with a grade of C or better or transfer credit for Math 1042 (0086).
Co-Requisite: Math 2043 (0127) or a CIS Theory course: CIS2166 (0166) or CIS3211 (0211) or CIS3242 (0242)
Questions, email: latecki@temple.edu
Maximum Likelihood Estimation Primer
Homework: Homework due dates are on Wednesday. Late homework will result in a penalty. You will be allowed to drop your lowest three homework grades.
Class attendance: Class attendance is expected, and may be recorded from time to time. Absences for legitimate professional activities and illnesses are acceptable only if prior notice is given to the instructor by e-mail or phone. Scheduling conflicts with your work, extra-curricular activities, or any other such activities is not a valid excuse. Although attendance is not a specific part of the course evaluation it has a direct effect on class participation. If you are not in class you cannot participate. Class participation means that you attend class regularly and have completed your assigned readings. It means that you ask relevant questions and make informed comments in class. Class participation will contribute to the final grade.
Quizzes: Each week there will be one 20 - 25 minute miniquiz based on the homework assignment for the previous week. There will be no make up quizzes; however, you will be allowed to drop your lowest three quiz grades. Each quiz will be worth 20pts. You may bring one letter size page filled with your own notes to each miniquiz.
Exams: If you miss a midterm for an emergency [as agreed ahead of time with the instructor], there will be no makeup exam: the other exams will become proportionally more important. If you miss any exam without prior agreement, and without definitive proof as to the reasons, you will get a zero. If you miss the final and do not make alternative arrangements before grades are turned in you will be graded F.
Homework and Quiz Schedule:
Homework that is due on Tuesday (beginning of the class) is based on
lectures on Tuesday and Thursday of the previous week.
Graded homework will be returned on Wednesday (next day).
The quiz on Thursday is testing the material covered during lectures on
Tuesday and Thursday of the previous week.
Thus, it coincides in the scope with the homework that was due the day
before on Wednesday.
I encourage students with disabilities, including "invisible" disabilities such as chronic diseases and learning disabilities, to discuss with us any appropriate accommodations that we might make on their behalf. Student must provide me with a note from the office of Disability Resources and Services at in 100 Ritter Annex, 215-204-1280, regarding their disability.