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DRPS : Course Catalogue : School of Engineering : Chemical

Undergraduate Course: Computational Methods for Chemical Engineers 2 (CHEE08011)

Course Outline
SchoolSchool of Engineering CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 8 (Year 2 Undergraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryFor the first five weeks, the students work on a self-study MATLAB module which will consist of five individual units. The individual units will be concluded by competence based self tests so that the students can test whether they understood the concepts and are able to apply them. These units will be supported by weekly computing drop-in sessions. The learning outcomes of the module will be assessed by a computer-based class test.

The second half of the course focuses on the application of numerical methods in a chemical engineering context. The learning outcomes of this part of the course will be assessed by a final examination.
Course description The course has two parts.

PART 1 consists of introductory material (week 1 - 5) assessed by a 1 hour computer-based open book class test.

PART 2 consists of more advanced material (week 6 - 10) assessed by a 1.5 hour computer-based open book exam.
All materials are self-study and online. All learning is supported by weekly drop-in computer lab sessions. For PART 2 additional support is provided in the form of weekly tutorials. An introductory lecture is provided in week 1.

The following subjects will be covered during the course:

Week 1: Introductory Lecture

Week 1 - 5: PART 1, Self-study introductory MATLAB modules, units 1 - 5.

Weeks 6 - 9: PART 2, Application of numerical methods to chemical engineering problems using MATLAB:

Week 6: How to tackle more complex programming tasks, bug fixing.

Week 7: Class Test

Week 7: Solving ODEs numerically

Week 8: Root finding

Week 9: Regression analysis & parameter estimation

Week 10: Revision

Week 11: Revision

Computing Laboratories

Week 1 - 6: Drop-in sessions for PART 1

Week 8 - 10: Drop-in sessions for PART 2
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Mathematics for Science and Engineering 1a (MATH08060) AND Mathematics for Science and Engineering 1b (MATH08061)
Prohibited Combinations Other requirements None
Information for Visiting Students
High Demand Course? Yes
Course Delivery Information
Academic year 2019/20, Available to all students (SV1) Quota:  None
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 1, Seminar/Tutorial Hours 10, Supervised Practical/Workshop/Studio Hours 15, Formative Assessment Hours 10, Summative Assessment Hours 2.5, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 59 )
Assessment (Further Info) Written Exam 50 %, Coursework 0 %, Practical Exam 50 %
Additional Information (Assessment) The course is assessed by an open book mid term class test (50 %) and an end-of-term open book exam (50 %).
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S1 (December)1:30
Resit Exam Diet (August)1:30
Learning Outcomes
On completion of this course, the student will be able to:
  1. Demonstrate proficiency in the basics and fundamentals of MATLAB.
  2. Demonstrate ability to construct computer algorithms for implementation in MATLAB programs.
  3. Apply MATLAB and numerical methods to a variety of problems in a chemical engineering context.
Reading List
Additional Information
Graduate Attributes and Skills Not entered
KeywordsNot entered
Course organiserDr Carlos Ferreiro-Rangel
Course secretaryMr Mark Owenson
Tel: (0131 6)50 5533
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