Explain the nature of finance and its interaction with other management functions

Focus on shareholders' wealth creation

Discuss agency problems

Analyze and evaluate all investments and take decisions

This Module equips students with the abilities to apply management practices in various functions of the business such as Human resources management, sales and marketing strategies, research and development, production and operations, procurement management, general administration procedures and IT aspects of the business organization.

1.     Module Code: BIT 3231                                              School: Business

2.     Module Title: Business Intelligence and Innovations

3.     Year3  Trimester 2     

4.     Credits: 15

5.     Administering School: School of Business

6.     Department: Business Information Technology        

7.     Year of Presentation: 2018-2019

8.     Pre-requisite or co-requisite modules: N/A

9.     Allocation of study and teaching hours

10.  Description

This module will offer to the students with opportunity to gain an enhanced understanding of business analytics and how they do help in decision making. Understand the importance of knowledge as an intellectual asset for the organization and how it is used for value creation

11.1 Knowledge & Understanding: Successful completion of this module will enhance the student's ability to:

a.     Define all possible tools used in current business organization for business intelligence and analytics

b.     Master processes for knowledge creation and sharing in organizations

c.     Understand the utility of data mining in business

d.     Be able to understand to importance of innovative ideas in business

11.2 Cognitive/Intellectual skills/application of knowledge: Successful completion of this course will enhance the student's ability to:

1. Identify appropriate business intelligent tools
2. Explain relevant data mining techniques

to use the systems development lifecycle to build or acquire business computing

11.3  General transferable skills : Having successfully completed the module, students should be able to:

a.     Explain data mining concepts

b.     Explain processes of Designing the data storage using data warehousing techniques

c.     Interpret the results using Knowledge management theories

d.     Deciding according the information got and quickly responding to the market

e.     Forecasting the market and be a forerunner on the field

Unit1: Business Intelligence

I.               Introduction to Business Intelligence

A Framework for Business Intelligence (key definitions)

Transaction Processing versus Analytic Processing

Successful BI Implementation

Major Tools and Techniques of BI

II.              Data Warehousing

Definitions and concepts

Data warehousing Process overview

Data warehousing architectures

Data warehouse Development

Data warehousing Implementation Issues

Real Time data warehousing

Data warehouse administration, Security Issues and future Trends

III.            Data Mining for Business Intelligence

Introduction/Historical Perspective,

Fundamental concepts, Overview of data mining 

Expanding universe of data Production factor

Knowledge discovery process

Data pre-processing - Measurement and Data

Visualizing and Exploring data

Data Analysis and Uncertainty - algorithms

Data Cube – OLAP – Technology

Classification and Prediction, Regression 

Cluster Analysis – Mining Frequent Pattern Association -

Visualization Technique - k nearest neighbor – Decision trees – Association rules – Neural Networks – Genetic Algorithms – Reporting - Commercial data mining software applications

Text and Web Mining

Unit II: Knowledge Management & Business Innovations

 Introduction – concepts and Theories

KM Technologies and Strategies

Knowledge Sharing

Community of Practices

Knowledge Applications

Knowledge systems

Knowledge Management Cycle

Business Innovations

Managing Technological Transitions

 Competing in Technology Intensive Industries

Creating and Managing Innovative Organization

Applying the Ideas

Development of the learning outcomes is promoted through the following teaching and learning methods:

a.     Lectures are used throughout the program in order to impart essential knowledge relating to above aims and outcomes.

b.     Emphasis is given on Practical oriented Approach by giving more exercises in lab, field visits and  seminars

c.     Student centered approach is taken whereby students are expected to do lot of exercises by taking real life examples.

d.     Independent study is necessary to both assimilate and further clarification material obtained from lectures, preparation for seminars, preparation for written assessments, and the broader development of knowledge of the field of study.

e.     Group work is an important part of some modules in the program and it provides an opportunity for teamwork participation, the development of interpersonal skills and the reconciliation of different points of view.

The main principles underlying assessment are that understanding, interpretation and application are the crucial issues. 

Assessment Strategy

The Assessment can take many forms such as group discussions, Assignments, Quizzes, objective questions, Continuous Assessment Tests, Practical Exercises, Presentations, to name a few. The Assessment differs from Module to module and is dependent on the module and its learning outcomes. The Module team headed by the Module Leader, come together and prepare a Module Handbook detailing the module, its learning outcomes, indicative content, the type of Assessments and its weightage, before the start of the module. 

A.    Reference Books:

Core texts:    

1.     Efraim T.,Ramesh S.,Darsum D.,David K.,(2011). Business Intelligence. A Managerial Approach. 2nd Ed.,Pearson, 312 p

2.     Dalkir K.,(2011). Knowledge Management in Theory and Practice. 2nd Ed.,MIT, 485p

3.     J. Hass and M. Kamber (2006) Data Mining Concepts and techniques, Morgan Kauffman Publishers, Elsevier Inc

4.     Paulraj Ponniah (2001) Data Warehousing Fundamentals: A Comprehensive Guide For IT Professionals, Wiley Interscience Publications

5.     D. J. Hand, Heikki Mannila, Padhraic Smyth (2001) Principles of Data Mining, MIT

Background texts:

6.     Herwig Rollett (2003), Knowledge Management Process and Technologies, Kluwer Academic Publishers

7.     Ronald Maier (2004), Information and Communication Technologies for Knowledge Management,Springer Verlak, Newyork

8.     Jean-Philippe Deschamps (2008) Innovation Leaders: How Senior Executives Stimulate, Steer and Sustain Innovation, John Wiley & Sons Publishers

9.     Pieter Adriana’s, Dolf Zantinge (1998) Data Mining, Addison Wesley.

10.  Alex Berson and Stephen J. Smith (2004), Data Warehousing, Data Mining, & OLAP, McGraw-    Hill

11.  Krogh, G. and Roos, J. (Eds) (1996) Managing Knowledge: Perspectives on Cooperation and Competition. Sage, London

Mr. PAVALAM S.M.

Mr. MUGABE Nzarama Gabriel

Unit Approval

Dean of Faculty and the Head of department implementing the program to confirm agreement

Business math is a tool that help business math to evaluate their

This module introduces students to know the mode reasoning of mathematics that consists of using numbers in daily life.  

The purpose of this module is to explore integrative and holistic concepts in nursing.  Emphasis will be on caring and healing relationships that advance the health and well being of patients, families and systems.  Caring theories for patients suffering from acute, chronic, and mental illness including life-threatening and end-of-life issues.Concepts of caring and holism are explored.  Learners are expected to utilize advanced principles of communication and self-exploration throughout the module to explore personal conceptual frameworks of holism as related to healthcare in the Rwandan context.

 In this module, students will be introduced to historical background of eco-physiology and the destruction of tropical forests. This module will provide a more understanding on different types of tropical forests, their physiognomy and functional structure. Furthermore, it will provide more understanding of environment factors in tropical forests (temperature, light, water, mineral nutrients). It will mainly focus on eco-physiological responses to temperature, light and to drought.

 Welcome to this course of Parasitology

The aim of this module is to provide the student a general background in parasitology, the study of organisms (parasites) that live on or in other organisms (the host). The module will familiarize students with the life cycles of protozoans and parasitic helminths of major importance in Africa; it will also include their physiology and morphological adaptations, and will help understand their economic and medical importance.

Learning outcomes

At the end of the module, students will be able to;

1.Understand fundamental concepts and principles of parasitism, classification, ecology, morphology, lifecycle, transmission, diagnosis, prophylaxis, treatment of parasites.

2. Identify the people who are infected and types of infesting parasites based on observed symptoms

3. Prepare a protocol of parasitological study and isolate some types of parasites in 

infected blood or faecal samples in laboratory

4. Apply knowledge of parasitology on one’s life and learn more with the experience of parasites known in the surrounding

This module aims to provide an integrated background in parasitology. The module will familiarize students with the life cycles of parasitic protozoans, helminths, and arthropods of major importance in Africa.   At the end of this course, students must be able to explain the biology, and morphological adaptations of parasites, and understand the economic and medical importance of parasites.

This module looks at how strategy is currently practiced in a wide variety of contexts from commercial and entrepreneurial to social and not-for-profit. The curriculum encourages exploration of and a critical approach to the key concepts that underpin strategic management and the tools managers use to analyze their environment, frame choices and put the resulting strategies into action.  The programme also  emphasizes the need for an holistic perspective of the strategic issues confronting the organization and of the performance implications of the alternative structures and processes available for implementing strategy.

This is a test copy of our main CBEP course to test for import fidelity.

Brief description of aims 

This course covers Building Information Modeling (BIM), including its use and application for small and large-scale building construction projects. Students will learn terminology associated with buildings, the theory and evolution of BIM, and how to develop BIM models using Autodesk Revit.

This course will also cover selected topics on how BIM is used to help prepare or feed into key project items, such as cost estimation, structural, MEP (Mechanical, Electrical and Plumbing) architectural renderings, interfererence checking, and modeling of energy consumption.

This module “Civil Engineering Project Planning & Management” is a practical, step-by-step guide to project management for Civil engineers. This module describes the techniques and strategies for creating a successful civil engineering project. It introduces civil engineering projects and their management, and then proceeds stage-by-stage through the engineering life-cycle project, from requirements, and implementation, to phase-out. It offers information for understanding the needs of the end-user of a product and other stakeholders associated with a project and is full of techniques based on real, hands-on management of engineering projects. It will equip students with the skills, aptitudes, and knowledge required of project management professionals. It will teach a core set of project skills known as the ten project management knowledge areas, including managing project integration, scope, time, cost, quality, risk, resources, communication, procurement, and stakeholders as well as a solid understanding of the key factors that impact on project success and project management success, and the relations between project management and change management. It will make students aware of the issues in identifying and selecting projects and in planning, performing, and controlling the project, with much emphasis on civil engineering projects. Whilst drawing on project management theory, the module is focused on training students in practical skills based on the Project Management Body of Knowledge (PMBOK), an international standard published by the Project Management Institute (PMI).

NOTICE: This is a compulsory module for students who did CCNA version 6.

CCNAv7 Bridging provides the new topics for students who have completed CCNA R&S version 6.0 courses and want to prepare for the new CCNA certification exam (200-301). These topics were extracted from the CCNAv7: Switching, Routing, and Wireless Essentials andthe CCNAv7: Enterprise Networking, Security and Automation (ENSA) course.

By the end of this course, students will be able:

• Configure WLANs using a WLC and L2 security best practices.
• Explain how vulnerabilities, threats, and exploits can be mitigated to enhance network security.
• Explain how VPNs and IPsec secure site-to-site and remote access connectivity.
• Explain how network automation is enabled through RESTful APIs and configuration management tools.

The content from this course can be integrated as needed into Cisco CCNAv7 curriculum. The course includes activities using Packet Tracer, hands-on lab work, and a wide array of assessment types and tools.

CCNAv7: Introduction to Networks (ITN) covers the architecture, structure, functions and components of the Internet and other computer networks. Students achieve a basic understanding of how networks operate and how to build simple local area networks (LAN), perform basic configurations for routers and switches, and implement Internet Protocol (IP).

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

• Configure switches and end devices to provide access to local and remote network resources.
• Explain how physical and data link layer protocols support the operation of Ethernet in a switched network.
• Configure routers to enable end-to-end connectivity between remote devices.
• Create IPv4 and IPv6 addressing schemes and verify network connectivity between devices.
• Explain how the upper layers of the OSI model support network applications.
• Configure a small network with security best practices.
• Troubleshoot connectivity in a small network.