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5693bf4ba920231d42326c81f499319488a81586.xls FPT UNIVERSITY UNDERGRADUATE DEGREE PROGRAM IN SOFTWARE ENGINEERING SYLLABUS (Under Decision No. 343/QĐ-ĐHFPT dated 25/08/2011) 1 Course Name STATISTICS AND DATA PROCESSING 2 Course Code MAS201 3 No of credits 3 4 Degree Level Bachelor 5 Time Allocation 6 Pre-requisite MAC102 7 Main objectives 8 Description 9 Student's task 10 Materials 11 12 Scoring scale 10 13 Course Schedule 14 Ass. Structure 15 16 Approval Level Contact time: 26 sessions Lectures: 13 Tutorials: 13 1 session = 90' Upon finishing the course, students must acquire: 1. the following knowledge:(ABET a1) • The fundamental principles of probability and their applications • The frequently used probability distributions. • The basics of descriptive statistics 2. the following skills: (ABET a2) • Recognize simple statistical models and applied them to solve bussines and engineering problems. • Use at least one statistical software (Excel, Maxima) for problem solving. • Self-study skill. (ABET i) After a quick introduction to statistics, this course introduces basic concepts of probability and a review of discrete probability. It then explores 5 major topics in statistics: descriptive statistics, parameter estimations, hypothesis testing, regressions & correlations and analysis of variances. For each topics in statistics, students will be exposed to the use of statistical tools (for example Excel with statistics add-on) for solving realistic problems. Emphasis on the application of probability and statistics will be made in appropriate topics. The mathematics knowledge acquired in this course will provide students with tools and methods for data analyzing and decision making in their later career. Students must attend more than 80% of contact hours in order to be accepted to the final examination. Main materials:
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