No.

CILOs

Weighting (if applicable)

1.

explain clearly concepts from probability and describe basic stochastic processes.

2

2.

evaluate various quantities for probability distributions and random variables.

3

3.

formulate and solve problems about stochastic processes.

3

4.

develop mathematical models for a range of empirical phenomena and analyze models of queueing system on the basis of stochastic processes.

2

5.

the combination of CILOs 1-4

3

TLAs

CILO No.

Hours/week

Learning through teaching is primarily based on lectures.

1--5

39 hours in total

Learning through tutorials is primarily based on interactive problem solving allowing instant feedback.

2

2 hours

3

2 hours

1

1 hour

4

2 hours

Learning through take-home assignments helps students understand probability theory, solve problems on probability distributions and stochastic processes, as well as apply the knowledge of which and queueing theory to build mathematical models in sciences and engineering.

1--4

after-class

Learning through online examples for applications helps students apply concepts of probability and theories of stochastic processes and/or queueing system to model problems in engineering sciences.

4

after-class

Learning activities in Math Help Centre provides students extra help.

1--4

after-class

Assessment Tasks/Activities

CILO No.

Weighting (if applicable)

Remarks

Test

1--3

15-30%

Questions are designed for the first part of the course to see how well the students have learned theory and techniques of probability and stochastic processes.

Hand-in assignments

1--4

0-15%

These are skills based assessment to see whether the students are familiar with  theory, techniques of probability and stochastic processes and related applications in queueing systems and scientific modelling.

Examination

5

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 stochastic processes.

Formative take-home assignments

1--4

0%

The assignments provide students chances to demonstrate their achievements on probability and stochastic processes as well as their applications learned in this course.