Science

Mathematics and Statistics Undergraduate Student Course Evaluations

The table below provides information on Undergraduate Courses^ within the School of Mathematics and Statistics from CATEI Form A - Course Evaluation Question 10: Overall, I was satisfied with the quality of this course. The data shown is a four year aggregate of course results from 2012-2015. 

 

Course^

Overall, I was satisfied with the quality of this course*

Response Rate

MATH1011 - Fundamentals of Mathematics B

92.0%

22.4%

MATH1031 - Mathematics for Life Sciences

86.9%

25.3%

MATH1041 - Statistics for Life and Social Sciences

85.5%

27.1%

MATH1081 - Discrete Mathematics

90.7%

27.4%

MATH1131 - Mathematics 1A

93.2%

24.0%

MATH1141 - Higher Mathematics 1A

92.7%

25.8%

MATH1151 - Mathematics for Actuarial Studies and Finance 1A

91.0%

26.7%

MATH1231 - Mathematics 1B

91.6%

23.3%

MATH1241 - Higher Mathematics 1B

94.7%

27.2%

MATH1251 - Mathematics for Actuarial Studies and Finance 1B

87.8%

23.3%

MATH2011 - Several Variable Calculus

71.9%

23.1%

MATH2019 - Engineering Mathematics 2E

97.6%

20.8%

MATH2069 - Mathematics 2A

87.1%

18.4%

MATH2089 - Numerical Methods and Statistics

78.6%

16.0%

MATH2099 - Mathematics 2B

87.4%

22.7%

MATH2111 - Higher Several Variable Calculus

91.1%

23.5%

MATH2120 - Mathematical Methods for Differential Equations

87.9%

32.1%

MATH2121 - Theory and Applications of Differential Equations

76.4%

22.1%

MATH2130 - Higher Mathematical Methods for Differential Equations

80.9%

37.2%

MATH2221 - Higher Theory and Applications of Diff. Equations

75.9%

21.2%

MATH2241 - Introduction to Atmosphere and Ocean Dynamics

82.1%

35.9%

MATH2301 - Mathematical Computing

86.7%

31.4%

MATH2400 - Finite Mathematics

94.3%

37.2%

MATH2501 - Linear Algebra

96.2%

25.7%

MATH2520 - Complex Analysis

91.5%

33.9%

MATH2521 - Complex Analysis

86.0%

25.7%

MATH2601 - Higher Linear Algebra

98.5%

41.4%

MATH2620 - Higher Complex Analysis

96.7%

49.6%

MATH2621 - Higher Complex Analysis

93.3%

22.9%

MATH2701 - Abstract Algebra and Fundamental Analysis

100.0%

62.9%

MATH2801 - Theory of Statistics

90.4%

28.4%

MATH2831 - Linear Models

89.5%

21.3%

MATH2859 - Probability, Statistics and Information

71.2%

26.6%

MATH2871 - Data Management for Statistical Analysis

86.4%

19.2%

MATH2881 - Quantitative Risk

100.0%

16.8%

MATH2901 - Higher Theory of Statistics

88.7%

27.0%

MATH2931 - Higher Linear Models

86.9%

27.0%

MATH3041 - Mathematical Modelling for Real World Systems

73.0%

35.9%

MATH3101 - Computational Mathematics

96.4%

27.2%

MATH3121 - Mathematical Methods and Partial Differential Equations

94.2%

36.9%

MATH3161 - Optimisation

92.1%

24.1%

MATH3201 - Dynamical Systems and Chaos

93.9%

37.5%

MATH3261 - Fluids, Oceans and Climate

70.6%

40.5%

MATH3311 - Mathematical Computing for Finance

92.9%

30.9%

MATH3411 - Information, Codes and Ciphers

98.3%

34.0%

MATH3521 - Algebraic Techniques in Number Theory

93.1%

21.6%

MATH3531 - Topology and Differential Geometry

95.7%

33.3%

MATH3560 - History of Mathematics

97.1%

23.0%

MATH3570 - Foundations of Calculus

40.7%

22.7%

MATH3611 - Higher Analysis

93.5%

38.2%

MATH3701 - Higher Topology and Differential Geometry

78.1%

50.8%

MATH3711 - Higher Algebra

100.0%

38.9%

MATH3801 - Probability and Stochastic Processes

78.3%

28.4%

MATH3811 - Statistical Inference

90.9%

18.2%

MATH3821 - Statistical Modelling and Computing

90.6%

26.3%

MATH3831 - Statistical Methods in Social and Market Research

80.0%

17.5%

MATH3841 - Statistical Analysis of Dependent Data

90.9%

38.6%

MATH3851 - Experimental Design and Categorical Data

89.5%

33.9%

MATH3901 - Higher Probability and Stochastic Processes

91.9%

21.4%

MATH3911 - Higher Statistical Inference

96.6%

21.6%

 

* Percentage of students that Strongly Agree, Agree and Mildly Agree.

^Data is not provided from (a) courses with less than 10 aggregated responses; (b) honours year courses; (c) special research courses and (d) courses where the responses may identify individual staff members as proscribed by section 27(e) of the UNSW Australia (Academic Staff) Enterprise Agreement 2015.