Mathematical Programming - CFM2103

Assessment 1: Other

Opportunities for formative assessment will be provided through the practical sessions. Work will be set and feedback will be provided on the students&#39; efforts. Model answers will be provided to certain exercises for comparison and evaluation. Students will be able to gain informal feedback on work in progress by taking it to the practical for their tutor to review. Students will also have the opportunity to self-assess their work to gain a greater understanding of the assessment process.

Other

Assessment 2: Portfolio

This portfolio will be mostly related to object-oriented programming (OOP), and it serves a twofold purpose. First, this coursework is meant to check the learner’s understanding of the syntax for creating classes (identifying suitable instance attributes and defining the appropriate methods for handling them), implementing inheritance and operator overloading, etc. Second, the coursework is also used for evaluating the learner’s ability to design useful OOP code in Python, which can be applied to solving simple mathematical problems.

Portfolio

Assessment 1: Portfolio

This portfolio will consist of several programming exercises designed to test the learner’s understanding of procedural programming. This portfolio will be developed as work carried out in class and through directed independent study. Some of the exercises will simply check knowledge of the Python syntax, while others will test the ability to translate basic mathematical algorithms into computer code.

<p>The aim of this module is to introduce you to computer programming in general, and to Python programming specifically. You will develop an understanding of basic programming concepts and structures such as loops, conditional statements, iterations, functions, variables, scope etc. You will then go on to develop an understanding of object-oriented concepts such as data encapsulation, inheritance and polymorphism. By using Python as the programming language of choice, you will investigate mathematical problems taken from the material taught in lectures and will develop skills for the practical implementation of various types of algorithms discussed in class.</p>

School of Computing and Engineering

<p>https://library.hud.ac.uk/readinglists/CFM2103</p>

Computing and Information Systems

CFM2103 - Mathematical Programming

Mathematical Programming

Demonstrate an understanding of procedural programming using Python.

Demonstrate understanding of fundamental concepts in object-oriented programming using Python.

Analyze mathematical problems and design and develop algorithms using mathematical programming tools.

Implement, test, and debug computer programs in Python using a mixture of built-in and user-defined functions (or classes).