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MA2506 Probability and Statistics
Part I No. CILOs Weighting (if applicable) 1. explain concepts at high levels and implement basic operations in probability and statistics. 3 2. use the methods of hypothesis testing and parametric estimation for some statistical problems. 3 3. develop mathematical models using probability and statistics. 2 4. apply statistical and computational methods to a range of problems in science and engineering involving probability and statistics. 2 5. the combination of CILOs 1-4 3 Teaching and learning Activities (TLAs): TLAs CILO No. Hours/week Learning through teaching is primarily based on lectures. 1-5 40 hours in total Learning through tutorials is primarily based on interactive problem solving allowing instant feedback. 1 4 hours 2 4 hours 3 2 hours 4 2 hours Learning through take-home assignments helps students understand the theoretical basis and practical applications of probability and statistics, and develop the ability of analysing problems from a probabilistic and statistical point of view. 1-5 after-class Learning through online examples for applications helps students set up probabilistic and statistical models and apply to some problems in science and engineering. 3, 4 after-class Learning activities in Math Help Centre provides students extra help. 1, 2 after-class Assessment Tasks/Activities CILO No. Weighting Remarks Test 15-30% Questions are designed for the part of probability theory to see how well the students have learned the basic concepts, fundamental theory and some applications of probability. Hand-in assignments 0-15% These are skills based assessment to enable students to demonstrate the basic concepts and fundamental theory of probability and statistics and some applications. Examination 70% Examination questions are designed to see how far students have achieved their intended learning outcomes. Questions will primarily be skills and understanding based to assess the student’s versatility in probability theory and statistical inference. Formative take-home assignments 0% The assignments provide students chances to demonstrate their achievements on probability and statistics learned in this course. Grading of Student Achievement: Refer to Grading of Courses in the Academic Regulations Probability. Sample Space. Discrete and Continuous Random Variables. Discrete and Continuous Probability Distributions. Central Limit Theorem. Chebyshev’s Theorem. Mathematical Expectation and Variances. Moment Generating Functions. Estimation of Parameters. Hypothesis Testing for one and two samples. Related Links
Department of Mathematics |
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