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MA3516 Introduction to Industrial Mathematics
Part I Course Duration: One semester Part II Course Aims Course Intended Learning Outcomes (CILOs) No. CILOs Weighting (if applicable) 1. solve industrial problems with modeling, analytical and computational techniques based on the theories and principles learnt. 3 2. describe diverse applications of applied mathematics in industry. 2 3. create and formulate mathematical models of industrial phenomena with more advanced numerical and computing software packages. 3 4. analyze solutions of industrial problems from a mathematical viewpoint. 2 5. the combination of CILOs 1-5 3 Teaching and Learning Activities (TLAs) TLAs CILO No. Hours/week Learning through teaching is primarily based on lectures. 1--5 26 hours in total Learning through laboratory sessions helps students practise hand-on skills in solving and analyzing more complex mathematical problems with appropriate computing packages. 1, 3--4 13 hours in total Learning through take-home assignments helps students familiarize with basic concepts and techniques of numerical and computing methods in solving industrial problems. 1--4 after-class Learning through project(s) helps students apply numerical and computational methods in modeling and approaching technical problems of industry. It also helps students to communicate and collaborate effectively in the team. 1, 3--4 after-class Learning through online examples for applications helps students set up models numerically for a diversity of problems involving industrial mathematics. 3 after-class Assessment Tasks/Activities 100% Coursework Assessment Tasks/Activities CILO No. Weighting (if applicable) Remarks Test 25-50% Questions are designed for the first part of the course to see how well students have learned the concepts of numerical methods and computational techniques commonly applied in industry. Hand-in assignments 0-25% These are skills based assessment to enable students to implement numerical methods in solving mathematical problems on industrial applications and to manipulate software packages in formulating solutions. Project(s) 50% Students are assessed on their ability in applying mathematical and computational methods to solve industrial problems, as well as on the presentation of numerical results with analysis. Formative take-home assignments 0% The assignments provide students chances to demonstrate their achievements on industrial mathematics learned in this course. Grading of Student Achievement: Refer to Grading of Courses in the Academic Regulations Part III Keyword Syllabus Related Links
Department of Mathematics |
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