Course Title: Numerical Technique Laboratory
Type of Course: Compulsory, Sessional
Offered to: EEE
Pre-requisite Course(s): None
Section B : Course Details
Laboratory on numerical techniques using computer solution of differentiation and integration problems, transcendental equations, linear and non-linear differential equations and partial differential equations.
To provide hands-on training on how to formulate various engineering and mathematical problems and applications properly for invoking numerical techniques.
To provide hands-on training on numerical techniques and computer solutions for standard differential equations and relevant problems.
Fundamental understanding of concepts of differentiation and integration problems, linear and non-linear differential equations, and partial differential equations.
| CO No. | CO Statement | Corresponding PO(s)* | Domains and Taxonomy level(s)** | Delivery Method(s) and Activity(-ies) | Assessment Tool(s) |
|---|---|---|---|---|---|
| 1 | use modern tools to solve problems relevant to engineering and mathematics | PO(e) | P4 | Lectures, Lab demonstrations | Lab-tasks, Report, Assignment, Lab-tests |
| 2 | compare theoretical and empirical results of standard mathematical problems | PO(d) | C5 | Lectures, Lab demonstrations | Lab-tasks, Report, Assignment, Lab-tests |
| 3 | analyze different solution approaches to decide which one is more appropriate for a particular application | PO(b) | C4 | Lectures, Lab demonstrations | Lab-tasks, Report, Assignment, Lab-tests |
* Cognitive Domain Taxonomy Levels: C1 – Knowledge, C2 – Comprehension, C3 – Application, C4 – Analysis, C5 – Synthesis, C6 – Evaluation, Affective Domain Taxonomy Levels: A1: Receive; A2: Respond; A3: Value (demonstrate); A4: Organize; A5: Characterize; Psychomotor Domain Taxonomy Levels: P1: Perception; P2: Set; P3: Guided Response; P4: Mechanism; P5: Complex Overt Response; P6: Adaptation; P7: Organization
Program Outcomes (PO): PO(a) Engineering Knowledge, PO(b) Problem Analysis, PO(c) Design/development Solution, PO(d) Investigation,
PO(e) Modern tool usage, PO(f) The Engineer and Society, PO(g) Environment and sustainability, PO(h) Ethics, PO(i) Individual work and team work,
PO(j). Communication, PO(k) Project management and finance, PO(l) Life-long Learning
* For details of program outcome (PO) statements, please see the departmental website or course curriculum
| K1 | K2 | K3 | K4 | K5 | K6 | K7 | K8 | P1 | P2 | P3 | P4 | P5 | P6 | P7 | A1 | A2 | A3 | A4 | A5 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 🗸 | 🗸 | 🗸 | 🗸 | 🗸 | 🗸 | 🗸 | 🗸 |
| Week | Experiment no. | Topic |
|---|---|---|
| 1 | - | Introductory class and overview of the course |
| 2 | 1 | Introduction to MATLAB |
| 3 | 2 | Introduction to MATLAB |
| 4 | 3 | Interpolation |
| 5 | 4 | Curve Fitting |
| 6 | 5 | Solution of Simultaneous Linear Algebraic Equations |
| 7 | 6 | Numerical Differentiation |
| 8 | 7 | Numerical Integration |
| 9 | 8 | Solutions to Non-linear Equations |
| 10 | - | Laboratory test 1 |
| 11 | - | Laboratory test 2 |
| 12 | - | Final project demonstration and presentation |
| 13 | - | Final project demonstration and presentation |
Class participation will be judged by in-class evaluation; attendance will be recorded in every class.
Continuous assessment will be done in the form of laboratory tasks, assignments, laboratory-tests, report writing and viva.
A group project on the techniques learned during the semester must be completed by the end of this course. A project report must be submitted, and the project must demonstrated and presented in the class.
To be decided by course instructor(s)
Numerical Methods using MATLAB by John H. Mathews and Kurtis D. Fink
Engineering problem solving with MATLAB by D. M. Etter
Besides going through relevant topics of the textbook, it is strongly advised that the students follow the class Lectures and discussions regularly for a thorough understanding of the topics.