Section 001. Spring 2011
Syllabus
Instructor
Dr. Pei Wang
OFFICE: Room 1015B, Wachman Hall (Computer Activity Building)
ADDRESS: CIS Department, Temple University, Philadelphia, PA 19122
PHONE: (215)204-9255
EMAIL: pei.wang@temple.edu
Office Hours: Tuesday/Thursday 11:00 AM - 12:20 PM, and by appointment
Teaching Assisstant
Yaxiong Zhao
OFFICE: Room 108, Wachman Hall (Computer Activity Building)
ADDRESS: CIS Department, Temple University, Philadelphia, PA 19122
PHONE: (215)204-5969
EMAIL: yaxiong.zhao@temple.edu
Office Hours: Wednesday 9:00 - 11:00 AM, and by appointment
Time/Place
Lectures: Tuesday/Thursday 8:00 AM - 9:20 AM, Tuttleman Learning Center 403B
Lab: Wednesday 8:00 AM - 9:50 AM, Wachman Hall 207
Prerequisites
C+IN SC 1068 (0067) or 1073 (C081) with a grade of C or better, and MATH 1042 (0086) with a grade of C or better
Course Description
The goal is to introduce students to modern and extremely useful topics in computational statistics. It focuses on computational aspects and provides a hands-on introduction to fundamental concepts of data analysis. The course is composed of 3 hours lecture and 2 hours lab with programming assignments in Matlab. Consequently, the students will be able to immediately see their results with programming assignments in Matlab. 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.
Textbook
A Modern Introduction to Probability and Statistics
Dekking, F.M., Kraaikamp, C., Lopuhaa, H.P., Meester, L.E.
Springer 2007, ISBN: 978-1-85233-896-1
Schedule
See course website at
http://www.cis.temple.edu/~pwang/3033-PL/3033-index.htm
Grading
- Exams: 50% (mid-term 20% + final 30%, close book, but allow a single page of note)
- Quizzes: 15% (in class, no makeup, close book/notes)
- Class participation: 5%
- Assignments: 30%
Policies and Rules
- Attendance to all lectures, labs, and examinations is required. Late arrival or early leaving are not allowed except in special situations.
- No eating, talking, sleeping during the lectures.
- No usage of cell phones during the lectures.
- For the last days to drop or withdraw, check the Academic Calendar.
- Students with special needs: Any student who has a need for accommodation based on the impact of a disability should contact me privately to discuss the specific situation as soon as possible.
- The University has adopted a policy on Student and Faculty Academic Rights and Responsibilities (Policy # 03.70.02).
- Students should also be familiar with the University statement on academic honesty