Available courses

At the end of this induction, you should be able to:

  1. Login into LMS
  2. Update your profile and password
  3. Enroll yourself in the courses you will be undertaking
  4. Interacting through the Chatroom
  5. Access the virtual classroom
  6. Navigate through the virtual classroom
  7. Submit assignments/Term papers/Reports
  8. Undertake evaluations
  9. Download course materials
  10. Access the grades

BPL 2315: FREIGHT OPERATIONS- 45 Contact Hours

Prerequisite: None

Purpose of the Course
The aim of this course is to equip students with knowledge and competence relating to freight
operations locally and internationally.
Course Objectives
By the end of this course, students should be able to:
1. Identify various components of domestic and international freight operations
2. Explain the processes and interfaces involved in freight operations
3. Discuss the regulation and standards in freight operations

Course Description
Introduction of freight operations; Different modes of freight Transport: Surface freight, oceanic freight; Key roles of freight operations personnel; Freight transport and management : Planning and scheduling of freight operations, Freight Route planning and scheduling, Operational Efficiency in freight operations; Analytical models in freight operations, Origins, destination and routes, collection and delivery; Freight technology: Freight operations management systems; Costing and pricing of freight services; Role of public and private actors in the freight system; International bodies in freight operations; Domestic versus international freight operations; Regulatory Environment: national and international legislation, sources of legislation; Freight Insurance, Custom processes, structure and organization of freight Industries, Freight management; Key trends in fleet management; Computerized fleet management systems and analytical tools; Managing fleet size, composition, and utilization; Fleet routing plans; Optimal
replacement cycles; Fleet risk management strategies; Green fleet strategies; Safety and security in fleet management; Traffic Act. [Cap 403]; Emerging issues in freight operations

Teaching Methodologies
Lectures, Class discussions, Group Activities, Case Studies

Instruction Materials/ Equipment
LCD Projector, White board, Text Books

Course Assessment
Continuous Assessment 30 %
Examination 70 %

Course Text Books
1. Gourdin, Kent N. (2006). Global Logistics Management: A competitive advantage for the 21 st Century, Oxford: Blackwell Publishing. ISBN2015327220X
2. Kee-Hung Lai and Edwin T.C. Cheng, (2006). Just-in-time Logistics, An Introduction. McGraw Hill. ISBN1115327210X
3. Ronald H. Ballou, (2004). Business Logistics / Supply Chain Management, Prentice Hall. ISBN3015327287X

Course Reference Textbooks
1. Bernhard, T. (1997). Information systems in Logistics and transportation. UK. Oxford. ISBN2015327221X
2. John J. Coyle, Edward J. Bardi and C. John Langley Jr., (2003). The Management of Business Logistics, A Supply Chain Perspective, Thomson. ISBN1115327280X
3. Paul R. Murrhy Jr. and Donald F. Wood, (2004). Contemporary Logistics, Prentice Hall ISBN1015327271X

Course Journals

1. Journal of Business Logistics
2. International Journal of Logistic management
3. International journal of physical Distribution and Logistics management

Course Reference Journals
1. Journal of Supply Chain management
2. International Journal of purchasing and materials management
3. International journal of Operations and Production management
4. Transportation Journal

This course is an introduction to the concepts, principles, problems, and practices of operations management. Emphasis is on managerial processes for effective operations in both goods-producing and service-rendering organization. The aim of this course is to equip learners with knowledge of production and operations management 

BIT2421: Electronic Commerce (E-Commerce) course provides an overview of the fundamental concepts of online marketing, creating a web site, gaining customers online. This is a three-credit, under-graduate-level course at Multimedia University of Kenya. This foundational course focuses on principles of e-commerce from a business perspective. This course provides an overview of business and technology topics, business models, virtual value chain, and innovation and marketing strategies. In addition, some of the major issues associated with e-commerce—epayment transaction methods, security, privacy, intellectual property rights, authentication, encryption, acceptable use policies, and legal liabilities—will be explored.

MULTIMEDIA UNIVERSITY OF KENYA

FACULTY OF BUSINESS AND ECONOMICS

SEMESTER: AUGUST OF DECEMBER 2020/2021

COURSE CODE: BIT2426

INFORMATION RESOURCE MANAGEMENT 

LECTURER: SAMUEL ODOYO N.; PHD CAND

WELCOME NOTE

Dear Student,

Welcome to to the Information Resource Management (IRM) course BIT2426.  IRM is a broad term in IT that refers to the management of records or information or data sets as a resource. This can relate to either business or government goals and objectives. Information resource management involves identifying data as an asset, categorizing it and providing various types of active management. Experts describe IRM as the process of managing the life cycle of data sets, from their creation to their use in IT architectures, and on to archiving and eventual destruction of non-permanent data. The term IRM can refer to either software resources, physical supplies and materials, or personnel involved in managing information at any stage of use. 

The focus of this course shall be in three main areas of IRM, namely:

1) identification of information sources,
(2) type and value of information they provide, and
(3) ways of classification, valuation, processing, and storage of that information.

The  program shall be conducted in Blended Model that entails both Face-to-Face and eLearning mode. Throughout the course, the students shall receive their eNotes as well as undertake weekly graded assignments,  and a continuous assessment test (CAT) in week seven. Then finally, the end of semester exam after week 14. The lecturer  shall provide the students with the course eResources link, and any suitable reference guide to facilitate your learning.

 WELCOME

Samuel Odoyo N., PhD cand.

Email: sodoyo@mmu.ac.ke

 SMS/WhatsApp Phone: +254 721 542 056 

 

An operating system is a program that manages the computer hardware. It also provides a basis for application programs and acts as an intermediary between the computer user and the computer hardware. An amazing aspect of operating systems is how varied they are in accomplishing these tasks. Mainframe operating systems are designed primarily to optimize utilization of hardware. Personal computer (PC) operating systems support complex games, business applications, and everything in between. Operating systems for handheld computers are designed to provide an environment in which a user can easily interface with the computer to execute programs. Thus, some operating systems are designed to be convenient, others to be efficient, and others some combination of the two.

Course Description

Propositional logic: propositions, logic operators and truth tables, tautologies and contradictions, logical equivalence, boolean algebra, normal forms.

Methods of proof: direct proof, proof by contrapositive, proving equivalence, predicates  and quantifiers, mathematical induction, proof by contradiction.

Integers: binary, Hexadecimal and Base-n representation, modulo operations, divisibility, GCD and LCD, the Euclidean algorithm, sequences, recurrence relations, finding primes.

Sets and counting: set operations, venn diagrams, set identities, power sets, cross product, cardinality, the  pigeon hole principle, the  inclusion-exclusion  principle, permutations and combinations. 

Binary relations: properties of relations, digraphs, equivalence relations and equivalence classes, partial order, Hasse diagrams, total order, zero-one matrices, transitive closure.

Purpose:

To provide students with basic mathematical tools and abilities of algebra, trigonometry, permutation and combinations, series and complex numbers

Teaching methodology:  Lectures, tutorials; and group discussions

Course Assessment:

Continuous Assessment                      30%

End of Semester Examination            70%

LECTURE/WEEK

COURSE CONTENT

REMARKS

Surds, logarithms and indices;

 

Determination of linear laws from experimental data; Quadratic functions, equations and inequalities

 

3

Remainder theorem and its application to solution of factorisable polynomial equations and inequalities;

 

4

Permutations and combinations;

 

5

Cat 1/ Assignment 1

 

Series: finite, infinite, arithmetic, geometric and

 

7

Binomial series, and their applications such as compound interest, approximations, growth and decay;

 

The principle of induction and examples such as formulae for summation of series and properties of divisibility;

 

9

Trigonometry; trigonometric functions, their graphs and inverses for degree and radian measure, addition, multiple angle and factor formulae, trigonometric identities and equations; 

 

10

Cat 2 /Assignment

 

11

Sine and cosine formulae; their application to solution of triangles, trigonometric identities;

 

12

Complex numbers: Argand diagrams, arithmetic operations and their geometric representation; Modulus and argument;

 

13

De Moivre’s theorem and its applications to trigonometric identities and roots of complex numbers.

 

 

 

Core Reading Materials:

Course Textbooks

  1. Uppal S.M. and Humphreys H.M. (2008). Mathematics for Science, (2nd Ed.). New Delhi, India: New Age International Pvt Ltd Publishers. ISBN-13: 978-8122409949
  2. Backhouse J.K. (2007). Pure Mathematics 1 (4th Ed.). NY, USA: Longman. ISBN-13: 978-0582353879
  3. Sullivan M. (2011). Algebra and Trigonometry (9th Ed.). Canada: Pearson Education. ISBN-13: 978-0321716569

Reference Textbooks

  1. McKeague C.M. (2011). Elementary Algebra, (9th Ed.). New Delhi, India: Cengage Learning. ISBN-13: 978-0840064219
  2. McKeague C.M. (2009). Basic Mathematics, (7th Ed.). New Delhi, India: Cengage Learning. ISBN-13:978-0534378929
  3. Aufmann R.N., Barker V.C. and Nation R.D. (2007). College Algebra and Trigonometry (6th Ed.). Boston, USA: Houghton Mifflin. ISBN-13: 978-0618825158
MAT 2111 MATHEMATICS FOR SCIENCE OUTLINE Dr.docxMAT 2111 MATHEMATICS FOR SCIENCE OUTLINE Dr.docx

this course will enable the learner to understand an organization and how it is set up and managed.

The course will involve group research, discussion, and presentation of real companies registered in Kenya and demonstration of the organization setup

Conference Platform for PhD Seminars

Purpose

To enable the student to develop an innovative solution that is industry based.

Learning outcomes

By the end of this course unit, the student should be able to:-

  1. Simulate and model real life solution.
  2. Use modern development tools to develop the solution.
  3. Submit the project documentation.

 Each candidate shall undertake an approved project during the first and second semester of the fourth year as two course unit.  A satisfactory report must be completed, marked and presented in a final oral examination.

The first Semester deals with Project Proposal Development.

Human-Computer Interface

Internet Course

This course explores concepts, approaches and techniques used in the multimedia systems.

The course introduces a learner to concepts of data, efficient data storage and practices to ensure data integrity and accuracy is maintained in the modern work environment.

Learning outcomes

By the end of this course the students should be able to:

  1. Explain the concepts of database systems.
  2. Demonstrate the use of Database Management Systems and Query languages.
  3. Apply the modeling techniques to database design and implementation.

BCT 2404             Decision Support Systems (DSS)

 

Design and programming concepts for automation of management information systems. Organization of files . Techniques for processing information based upon organizational requirements and available hardware and software. Case studies.  Advanced design strategies for information systems. Specifications for an information systems project that includes its functional specifications and preliminary design.

 

 

COURSE OUTLINE

 

(A)          GENERAL

 

Faculty

Computing and Information Technology

Department

Information Technology

Level of Students

Undergraduate

Course Code

BCT 2404

Semester

1 (2020/2021)

Course Title

Decision Support System (DSS)

Lectures per week

3 hours

Credits

3

 

Course Description 2021.docxCourse Description 2021.docx

Course Description

Propositional logic: propositions, logic operators and truth tables, tautologies and contradictions, logical equivalence, boolean algebra, normal forms.

Methods of proof: direct proof, proof by contrapositive, proving equivalence, predicates  and quantifiers, mathematical induction, proof by contradiction.

Integers: binary, Hexadecimal and Base-n representation, modulo operations, divisibility, GCD and LCD, the Euclidean algorithm, sequences, recurrence relations, finding primes.

Sets and counting: set operations, venn diagrams, set identities, power sets, cross product, cardinality, the  pigeon hole principle, the  inclusion-exclusion  principle, permutations and combinations. 

Binary relations: properties of relations, digraphs, equivalence relations and equivalence classes, partial order, Hasse diagrams, total order, zero-one matrices, transitive closure.

Course Description

Propositional logic: propositions, logic operators and truth tables, tautologies and contradictions, logical equivalence, boolean algebra, normal forms.

Methods of proof: direct proof, proof by contrapositive, proving equivalence, predicates  and quantifiers, mathematical induction, proof by contradiction.

Integers: binary, Hexadecimal and Base-n representation, modulo operations, divisibility, GCD and LCD, the Euclidean algorithm, sequences, recurrence relations, finding primes.

Sets and counting: set operations, venn diagrams, set identities, power sets, cross product, cardinality, the  pigeon hole principle, the  inclusion-exclusion  principle, permutations and combinations. 

Binary relations: properties of relations, digraphs, equivalence relations and equivalence classes, partial order, Hasse diagrams, total order, zero-one matrices, transitive closure.

Course Description

Propositional logic: propositions, logic operators and truth tables, tautologies and contradictions, logical equivalence, boolean algebra, normal forms.

Methods of proof: direct proof, proof by contrapositive, proving equivalence, predicates  and quantifiers, mathematical induction, proof by contradiction.

Integers: binary, Hexadecimal and Base-n representation, modulo operations, divisibility, GCD and LCD, the Euclidean algorithm, sequences, recurrence relations, finding primes.

Sets and counting: set operations, venn diagrams, set identities, power sets, cross product, cardinality, the  pigeon hole principle, the  inclusion-exclusion  principle, permutations and combinations. 

Binary relations: properties of relations, digraphs, equivalence relations and equivalence classes, partial order, Hasse diagrams, total order, zero-one matrices, transitive closure.

Course Description

Propositional logic: propositions, logic operators and truth tables, tautologies and contradictions, logical equivalence, boolean algebra, normal forms.

Methods of proof: direct proof, proof by contrapositive, proving equivalence, predicates  and quantifiers, mathematical induction, proof by contradiction.

Integers: binary, Hexadecimal and Base-n representation, modulo operations, divisibility, GCD and LCD, the Euclidean algorithm, sequences, recurrence relations, finding primes.

Sets and counting: set operations, venn diagrams, set identities, power sets, cross product, cardinality, the  pigeon hole principle, the  inclusion-exclusion  principle, permutations and combinations. 

Binary relations: properties of relations, digraphs, equivalence relations and equivalence classes, partial order, Hasse diagrams, total order, zero-one matrices, transitive closure.

The course will examine the fundamental role of an operating system in relation to the operation of applications.

Learning Outcomes:

 

  1. By studying the essential theory of general purpose operating systems, students should, by the end of the course, have a clear understanding of the major components and concepts of today's modern operating systems.
  2. Students will  understand and evaluate operating systems
  3. Students should be able to create processes, assign resources to processes and schedule resources between competing resources to avoid deadlocks
  1. Students will gain an overview of how a computer system's components interact
  1. Students will become familiar with standard OS algorithms and design issues

Introduction to Professional Issues in IT:

-          Terminologies and definitions in Professional issues

-          Data

-          Information

-          Knowledge

-          Data sources and users

Profession and professional issues:

-          What is a profession?

-          Role of IT professionals

-          Characteristics of professionals, competencies and their core requirements in job matching

Current ethical issues:

-          What is ethics?

-          Privacy

-          Pornography

-          Security

-          Computer crime

-          Internet and law

-          Roles of IT professionals in ethical issues

International issues in IT:

-          Copy right

-          Trade rights

-          Patent rights

-          services

-          Telelworking

-          Safety issues in IT

-          Ethics

-         Code of ethics

This course equips the student with the ingredients and tools for effective planning, design, construction, authorship and presentation of research papers and research proposals.

Seminar Presentations - Learning Outcomes.docxSeminar Presentations - Learning Outcomes.docx

This courses introduces computer based simulation and modeling . This course focuses on the construction of simulation models of real or conceptual systems using  the simulation software packages.Topics covered are: Introduction to simulation, hand simulation and computer simulation , review of basic probability theory, introduction to random number generation, generation of random varieties, analysis of simulation output, variance reduction techniques and basic analytic queuing models.

The general digital literacy of the course participant is the aim of this course. It introduces the learner to the components that make up computing software applications and goes to expose  the learner to actual skills development in assorted areas. It sets clear differences between the various types of software. Ultimately it explores the very creation of the software in introduction to programming.

The Purpose of this course is to enable students apply knowledge and skills of computing in solving a real world problem.

Instruction

Course puurpose

Learing ourtcome

HPE ProLiant DL380

Gen10 6130 16-core 2P 128GB-RAM 

8SFF 2x800W PS Performance Server

Introduction to Electronics , course outline overview in reference to learning outcomes and objectives of the  unit.

Course oUTLINE.pdfCourse oUTLINE.pdf

This course is designed to teach students structures and algorithms which will allow them to write efficient programs designed to retrieve and store large amounts of data. Students will gain skills on how data may be structured and instructions sequenced in algorithms and programmes as well as the relationship between appropriate data and control structures and tasks from the real world.

To enable the student understand and apply the principles and practices of distributed database systems.

To enable the student understand and apply the principles and practices of distributed database systems.

To enable the student to understand the concepts and practices of electronic commerce.

To enable the students, understand principles and concepts behind embedded systems.

Learning Outcome

By the end of this course unit the student should be able to:

  1. Explain the concepts and principles of Expert Systems
  2. Describe domains for the application Expert Systems.
  3. Demonstrate how to build an Expert System using tools such as an Expert System shell.
Expert Systems Outline.docxExpert Systems Outline.docx
General models of machine learning: Neural Networks: Neural Network Representation, Neural Learning Problems, Perceptrons, Multilayer Networks and Back propagation Algorithms; Introduction to NLP. Deep learning for Computer Vision;
Deep learning for sequence labeling tasks,

Learning outcomes

By the end of the course, a learner should be able to:

1. Demonstrate familiarity with common errors in Java and its associated libraries.

2. Design and develop Java applications with various input/output modes.

3. Use graphical user interface to design and develop Java Applications

4. Appreciate concurrent and parallel programming through threads.

5. Interface Java Applications with Databases.

Purpose

This unit of study provides an introduction to the software development as an engineering discipline and the roles within it.

 Learning outcomes

By the end of the course, the students should be able to:

1. Deliver high-quality, maintainable software projects on time and within budget

2. Select an appropriate software development life cycle model for your project

3. Apply appropriate requirements, analysis, design and testing methodologies

4. Identify and assess language, database, and software architecture and quality issues

5. Exploit verification and validation activities throughout the life cycle

Purpose

To build on existing knowledge of both databases and web design in order to build dynamic internet applications connected to the databases using tools such as PHP and MySql, XML, and AJAX.  

Learning outcomes

At the end of the course students should be able to:

  1. Understand the various tools and techniques used for web application development
  2. Be able to design data driven applications
  3. Be able to apply various tools and techniques used to build data-driven applications
  4. Understand the functions of web services
  5. Be able to create and deploy web services

 

Course Description

This course introduces a methodical approach to Internet Application programming development, starting from problem formulation and specification, through design of the solution, implementation, and documentation, to evaluation of the solution. The course matter is taught through web programming language.

 

Learning Outcomes

By the end of the course, the student should have understood:

  1. Fundamental concepts, theory and techniques used in the design, analysis and engineering of wireless communications systems.
  2. The data communication protocols and mechanisms in wireless networks
  3. How to conduct wireless system design studies through performance analysis.

This course is to enable the students to be able to understand how, when, what and why financial statements are important. 

They will be able to understand financial decisions, investment decisions and dividend policy important for any transacting business.

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Integration

  1. 1.      Course Purpose

The purpose of this course is to enable the student to gain oral and written communication effectiveness, understand information dissemination and information gathering and be equipped with information gathering techniques

 

  1. 2.      Learning Outcomes

By the end of this course students should be able to

v  Discuss the etiquette and formats for writing.

v  Discuss the elements, process and purpose of communication

v  Explain the various sources of information

COURSE OUTLINE-COMMUNICATION SKILLS-FINAL.docxCOURSE OUTLINE-COMMUNICATION SKILLS-FINAL.docx

Cloud Computing 2023

Introduce you to professional Issues in IT

This course provides Master's students in Computer Science with the foundational principles and practical skills necessary to conduct rigorous, valid, and ethical scientific research. Students will learn to formulate research questions, design and execute research strategies, analyze and interpret results, and communicate findings effectively through written and oral presentations. The course covers a wide range of methodologies, including empirical, analytical, experimental, and design-science approaches, with a strong emphasis on critical evaluation and scholarly writing

Course Outline.pdfCourse Outline.pdf

The students in this course should understand the theory of design, analysis and evaluation of algorithms and apply that knowledge in solving real world problems

Purpose of the course

To enable the student understand and apply the principles and practice of modern computer and data networks.

 Expected Learning Outcomes

At the end of this course, the student should be able to;

  1. Explain the technical issues and principles associated with a range of internet applications and services.
  2. Design secure Data and Telecommunications  Networks
  3. Evaluate data network and the implementation management.

Teaching methodology: Lectures, tutorials, laboratory sessions, presentations, case studies and group discussions.


Purpose of the course

To enable the learner understand and apply knowledge of cloud computing to large enterprise applications

that are common in medium to large enterprises.

Expected Learning outcomes

At the end of this course, the student should be able to;

1. Select and apply relevant tools to build and test enterprise applications

2. Explain how the various components of internet-distributed applications can be assembled into a coherent

application and the nature and use of service-oriented architectures

3. Apply the features of database systems and critically assess the technologies that support the building and

deployment of enterprise applications

4. Evaluate the architectures & frameworks utilized in development of enterprise applications and the

inherent requirement of business process and planning to the development of enterprise systems


This course will enable the learner understand and apply advanced principles and practice of computer security and cryptography.

Purpose

Object-Oriented Analysis and Design has over the years, become a vast field encompassing such diverse topics as design process and principles, documentation tools, refactoring, and design and architecture patterns. Object-Oriented Analysis and Design can offer an approach that facilitates logical, rapid and thorough methods for creating new systems responsive to a changing business language. Object-Oriented techniques work well in situations in which complicated information systems are undergoing continuous maintenance, adaptation and redesign. The course comprehensively explores Object-Oriented Analysis and Design with a reflection to Object-Oriented Programming approach. 

 

Learning Outcomes (Objectives)

At the end of this course the learners should be able to: -

  1. Understand what Object-Oriented systems analysis and design is and appreciate its usefulness.
  2. Comprehend the concepts of UML, the standard approach for modeling a system in the Object-Oriented World.
  3. Apply the steps used in UML to break down the system into a use case model then a class model.
  4. Diagram systems with the UML toolsets so they can be described and properly designed.
  5. Relate the concepts of OOAD with OOP.
  6. Understand Robustness analysis in OOAD.

Purpose

To enable the student understand the behaviour of electromagnetic waves in different media and their applications.

 

Learning Outcomes

At the end of the course, the student should be able to:

  1. Explain the behaviour of electromagnetic waves as they propagate through different media
  2. Describe the operation of microwave passive devices.
  3. Select suitable transmission lines for different telecommunication engineering tasks.



Study of Rocks, soils and Ground Water

The course covers installation of electrical power in domestic and industrial plants using single phase and three phase circuits.

Purpose

To enable the student to understand the organization of operating systems (OSs) and their operations.

Learning outcomes

At the end of the course, the student should be able to:

1. Explain the terminologies used in OSs.

2. Describe the operations of OSs and user applications.

3. Discuss the inter-relationship between the computer hardware and the OS.

4. Explain the design and capabilities of special-purpose and general-purpose OSs.

OSs1.docxOSs1.docx

To enable students understand the fundamental, laws and theorems used to analyze electrical and magnetic circuits.

 Learning outcomes;

1. explain the law and theorems used in electrical circuits and networks

2. Use the laws and theorems to simplify complex electric circuits

3.Perform steady state analysis of networks

MAE 2216 Circuit Theory.COURSEOUTLINE.1.docxMAE 2216 Circuit Theory.COURSEOUTLINE.1.docx

Purpose

To enable the student learn basic computer programming concepts.

Learning outcomes

At the end of this course, the student should be able to:

1. Explain the the techniques and principles of good programming

2. Illustrate algorithmic problem solving processes and basic structure of a program

3. Write codes to solve engineering and related problems using appropriate programming language.

Outline_CP1.docxOutline_CP1.docx

To enable the student understand the physical principles of electronic measurements

Learning outcomes;

- Carryout measurements using analogue and digital instruments

- Explain measurements errors treatment

- Describe the characteristics of instrumentation systems

-explain basic remote sensing techniques and importance of signal processing

MAE 2321 MeasurementsInstr.COURSEOUTLINE.Final.docxMAE 2321 MeasurementsInstr.COURSEOUTLINE.Final.docx

Metal cutting Machine Tools: types such as Lathes, Drilling, Milling, shaping, slotting, gear cutter, and grinding; their construction, functions and attachments: chucks centres, angle plates, clamping plates, shims, wedges, corret, jigs and fixtures. Methods of metal cutting; theory and mechanics of metal cutting. Types of chip formation tool materials. Types of cutting tools: lathe tools, milling cutters drills and grinding wheels; parameters, tool life, tool wear and its causes. Machining operations and selection of machining parameters turning, cutting, drilling, boring, shaping, grinding and knurling Cutting forces in milling, grinding, shaping and drilling. Metal removal rates and economics of metal removal. Machine tool testing. Selection of machine tools. Types, uses and effects of cutting fluids in machining operation. Surface finishing processes: grinding, polishing, lapping, honing, buffing, super finishing, burnishing powder coating

COURSE DESCRIPTION

Psychology can be described as the study of people’s emotional, cognitive and behavioural tendencies. This course will explore the brain and some of the cognitive elements it supports like memory, learning, perception and consciousness.

COURSE OBJECTIVES

By the end of this course, the student will be able to:

  1. Define psychology, what is normal and what is abnormal behavior?
  2. Identify various disorders and describe the characteristics of each disorder.
  3. Differentiate between the various psychological theories and their approaches.
Course outline intro to psychology.docxCourse outline intro to psychology.docx

THE LEARNERS WILL BE ABLE TO UNDERSTAND AND GAIN KNOWLEDGE IN MANAGEMENT  SKILLS.

BMM 2115 COURSE OUTLINE .docxBMM 2115 COURSE OUTLINE .docx

MCO 2124 introduces learners to the historical development for electronic media. The course examines growth and development of cinema, radio, television, internet among other electronic means of communication.

The purpose of this course is to provide the student with an extensive understanding of electronic media that includes radio, television, internet, multimedia and satellite delivery systems.

MCO 2124 introduces learners to the historical development for electronic media. The course examines growth and development of cinema, radio, television, internet among other electronic means of communication.

The purpose of this course is to provide the student with an extensive understanding of electronic media that includes radio, television, internet, multimedia and satellite delivery systems.

This course provides an introduction to public relations. The primary purpose of this course is to familiarize students with the basic concepts and principles of effective public relations. To attain knowledge and understanding of the following central concepts:

  1. Role and functions of public relations in an industrialized society
  2. Concepts of public relations, audience analyses, and persuasion
  3. The basic process of public relations—research, planning, communication, Evaluation—and the use of communication strategies to achieve organizational objectives
  4. Understanding of public relations activities in firms, corporations, social agencies, trade, organizations, government, education, not-for-profits and sports and entertainment.

Psychology can be described as the study of people’s emotional, cognitive and behavioural tendencies. This course will explore the brain and some of the cognitive elements it supports like memory, learning, perception and consciousness.

COURSE OBJECTIVES

By the end of this course, the student will be able to:

  1. Define psychology, what is normal and what is abnormal behavior?
  2. Identify various disorders and describe the characteristics of each disorder.
  3. Differentiate between the various psychological theories and their approaches.
Course outline intro to psychology.docxCourse outline intro to psychology.docx

This course will focus on key elements of crisis communication and management – before, during and after a crisis. The necessity for effective crisis management is far much important during this century as companies/organizations are under global scrutiny and attack. The structure of the course will reflect the crisis management process: detection, prevention/preparation, containment, recovery and learning. Emphasis will be placed on practical application of crisis communications theory, with copious use of real-life case studies.

DPR 153 - Crisis Communication.pdfDPR 153 - Crisis Communication.pdf

This course will focus on key elements of crisis communication and management – before, during, and after a crisis. The necessity for effective crisis management is far much important during this century as companies/organizations are under global scrutiny and attack. The structure of the course will reflect the crisis management process: detection, prevention/preparation, containment, recovery, and learning. Emphasis will be placed on the practical application of crisis communications theory, with copious use of real-life case studies.

DPR 153 - Crisis Communication.pdfDPR 153 - Crisis Communication.pdf

This course will focus on key elements of crisis communication and management – before, during, and after a crisis. The necessity for effective crisis management is far much important during this century as companies/organizations are under global scrutiny and attack. The structure of the course will reflect the crisis management process: detection, prevention/preparation, containment, recovery, and learning. Emphasis will be placed on the practical application of crisis communications theory, with copious use of real-life case studies.

DPR 153 - Crisis Communication.pdfDPR 153 - Crisis Communication.pdf

A comprehensive study of public relations including identifying and reaching internal and external publics; dealing with print and electronic media; advertising, printing, direct mail; and preparing a public relations plan and budget. Also involves the writing of news releases, public service announcements, and advertising copy. Occasional offering.

Course Objectives:

To introduce the basics of forensic chemistry and familiarize the students with the methods used in handling and chemical analysis of forensic samples

At the end of the unit, it is expected that the students will be able to;

  1. Describe the methodologies involved in forensic analysis
  2. Determine the accuracy and reproducibility of these techniques
  3. Apply chemical methods in forensic analysis
CHA 2405 Forensic chemistry course outline.pdfCHA 2405 Forensic chemistry course outline.pdf

INTRODUCE CONCEPTS, TOOLS AND TECHNIQUES OF SYSTEM ANALYSIS AND DESIGN

CCS 2126  BIT 2112 -System Analysis and Design Course Outline.pdfCCS 2126 BIT 2112 -System Analysis and Design Course Outline.pdf

THe course explores the contributions of early scholars on the state and its attributable functions

EXPLAIN VARIOUS THEORIES OF COUNSELING

Political science orients young scholars to the state operations and the theory of who gets what, when and how.

course seeks to evaluate the early scholars on political philosophy

Electrical Measurements & Testing for Beginners

About HIV

About Aids

To enable the student to work safely in the workshop, measure and inspect using various instruments and understand basic metal joining principles.

To enable the student to work safely in the workshop, measure and inspect using various instruments and understand basic metal joining principles.


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