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This module aims to provide basic understanding in medical virology including evolution and classification of viruses, interaction of viruses with the host cells and introduction to Laboratory diagnosis of viral infections.

Welcome to the GLG4165 Drilling and Blasting module. The module intends to develop the capability and requisite skills of a mining engineer to build a foundation of knowledge to Understand the principles, concepts, theories and methodologies used in the blasting industry and promote a safe, healthy and environmentally conscious place of work. It deals with the principles of commercial explosives technology and the application of blasting in mining. The planning, design, economic considerations and trends of drilling and blasting practices in the different segments of the mining industry are considered

This course  introduces Learners to the concept and practical skills of Soil physics and Chemistry, Irrigation and water Quality Assessment and Soil and water management. The course aim at equipping learners with skills and knowledge helping them to solve problems facing soil and water resources.

This module introduces the Human Computer Interface (HCI) discipline and the design of usable interfaces for computer applications. The subject looks at how to gather user requirements and employ the principles of design in order to successfully develop interfaces that meet those requirements. It includes the evaluation of interfaces for usability using techniques derived from the principles..

The objective of this module is to provide students with basic theoretical and practical knowledge and skills to implement a Geographic Information System (GIS) project. This includes mastering different concepts, tools and methods to capture, store, query, organize, analyze various data and display output spatial data as maps (Geo-Information).

This module describes the process of early development of the embryo in domestic animals from egg fertilization, blastulation, implantation and gastrulation. The module will also describe for different animals’ gross anatomy of the body regions, skin and derivatives, comparative osteology in domestic animals and different cavities anatomy of the animal’s body as well as systems and organs they contain.

The Animal Products Processing and Quality Control course is a 20-credit course offered in the fourth year of Animal Production in the School of Veterinary Medicine (SVM), College of Agriculture, Animal Sciences and Veterinary Medicine (CAVM).  It captures course objectives, course materials; and practical sessions. 

Data structure and object oriented programming is essential for you to learn the key skills in a programming language, in this course, you will learn how data are organized in memory, the accessibility of data in memory, and techniques and algorithms to access data. you will have hands-on practice on OOP.

Business Mathematics is designed to introduce the basic mathematical skills needed to understand, analyze, and solve mathematical problems encountered in business and finance, and in investment decision making. There are no prerequisites for Business Mathematics; however, students are expected to be able to perform the basic arithmetic operations; addition, subtraction, multiplication and division with ease, and to have some familiarity with fractions, with algebraic operations, and with some basic mathematical principles. The Module of Business Mathematics is thought in Level One school of Business.

Welcome to Cancer Pathophysiology and therapeutic interventions I module.

This module is designed to develop the students’ understanding of the common cancers and the treatment modalities for oncology patients including surgery, chemotherapy treatment; the mechanisms of action of various treatment modalities; and use of antimicrobials. The student will develop an understanding of the importance of maintaining a safe environment for the patient and the healthcare team and the physiological basis for oncological emergencies and medical and nursing management.  Finally, interventions to support families and caregivers are also a focus of the module.

THIS COURSE IAS AIMED TO ENHANCE KNOWLEDGE ABOUT DIFFERENT CANCERS.

This module provides knowledge about the processes and technologies involved in providing situational awareness through the detection, containment, and remediation of IT threats.  It also presents the organizational developments related to security awareness, threats, and responses; ethics/codes of behaviour in information security. It is taught to Year 3 students in Computer science at National Police College (NPC), under the school of ICT. It is taught by Dr Richard MUSABE, Senior Lecturer in Computer and Software Engineering Department.

The module aims at equipping students with understanding of quantitative methods for purposes of quantitative business appraisal in organizations in respect of costs and revenues as well as quantitative forecasting. The module prepares the learner to make analytical decisions with a greater quantitative than qualitative component in the business environment.

The main topics are: History of Operations Research,  Stages of Development of Operations Research,  Relationship Between Manager and OR Specialist, OR Tools and Techniques and Applications of Operations Research.

After Studying this lesson, you should be able

to: Understand the meaning, purpose, and tools of Operations Research',  Describe the history of Operations Research ,Describe the Stages of O.R and  Explain the Applications of Operations Research.

Basic modeling techniques and solving methodologies of Operations Research (OR)

Graphic method

Simplex

Assignment

The most known optimization tools / software (lab).

Project Oriented Homework

Solving real problems occurred in practice

(application oriented project), including analysis, modeling, optimization.

1. This module introduces students to mathematical models and techniques used to derive values of variables for a complex organizational system that optimizes the performance of that system.
2. More specifically, it creates the students’ awareness of linear, transportation and assignment models, network models, and queuing models. 
3. The applications include industrial processes, management systems, road and transport networks, and telecommunication systems. 
4. The module content is based on real-world examples and cases to encourage students to develop their attitude and ability to discover and innovate.

Description of the module

Operations research is the study of scientific approaches to decision-making. Through mathematical modelling, it seeks to design, improve and operate complex systems in the best possible way. The mathematical tools used for the solutions of such models are either deterministic and stochastic, depending on the nature of the system modeled. In this class, students will learn very powerful modeling and solutions techniques for decision-making problems that are used today by many successful companies to help them earn and/or save millions of dollars.

This module covers the application of many kinds of mathematical methods to improve the efficiency of processes and the management of complex systems. A range of techniques associated with mathematical models constructed to describe and solve problems is considered. Operations Research concerns the application of many kinds of mathematical methods to improve the efficiency of processes and the management of complex systems. The module is discussing a variety of useful models, techniques and applications. Some of the models which are discussed in this module include transportation models, network models, project scheduling, inventory control models and non linear programming models. The applications include industrial processes, management systems, road and transport networks, telecommunication systems and construction projects.

Operational Research or scientific management is a scientific approach for the resolution of the complex problems of management. It wants to be a powerful tool to the decision-maker which helps him to make his decisions in a rational and systematic way. So, the O.R is the application of the methods of science to managements of the great systems of the men, the machines and materials, money, in industry, the businesses, the government, and defense. The distinctive approach consists of developing a scientific model of the system incorporating risks with which we can predict and compare the results of the decisions, strategies in alternative control. The goal is to help the decision-maker to determine his scientific actions and policies.

To the first view, Operations research (or the operational research) is a recent technique, dating to most of World War II. And, in fact, it is well to its application to the military operations that it owes its name. But really, it is a lot older. Since the XVIIs Century, Blaise Pascal and Pierre Fermat, inventors of the notion of expectation of a random variable (1654), looked for, followed by Jacques Bernoulli, to solve problems of the decision in the uncertain situation. In the XVIIIs century, Monge Gaspard solved analytically a combinatory economic problem: one of them releases the clutch and embankments (1776)