Name |
Description |
Period |
ABBE 2121 BUSINESS STATISTICS | Introduction to statistics: meaning, functions and limitations. Methods of data collection: Methods of sampling: Data presentation: tables, Diagrams (bar charts and pie charts), and Graphs (Z charts, Lorenz and Semi-log). Frequency distribution tables, histograms, frequency polygons and Cumulative frequency curve. Descriptive statistics: Measures of location, Measures of dispersion, Coefficient of variation and Measures of skew-ness; Normal distribution: Properties of normal curve, areas under a | Seotember - December | ABAQ 1221 BUSINESS STATISTICS | Introduction to statistics: meaning, functions and limitations. Methods of data collection: Methods of sampling: Data presentation: tables, Diagrams (bar charts and pie charts), and Graphs (Z charts, Lorenz and Semi-log). Frequency distribution tables, histograms, frequency polygons and Cumulative frequency curve. Descriptive statistics: Measures of location, Measures of dispersion, Coefficient of variation and Measures of skewness | Seotember - December | ABMS 7203 Production and Operations Managment | Basic Concepts , Product & Services design, Operations Decision making & Analysis, Forecasting, Process Analysis, Strategic Capacity planning and services, Job Design and measurement , Network Analysis, Inventory Management & Scheduling , Management of quality , Supply Chain Management | January - April | SCCC 7112 ICT PROJECT MANAGEMENT | Introduction to management, project selection and planning. Projectscope, time, cost and quality management, Project integration Management. Project human Resourcemanagement. Project communication management.Project risk management.Project procurementProject Organization and Behavior, Project monitoring and Control, business environment, project finance, procurement methods,rchasing, contract and pricing strategy, contracts management, supply chain management, conflict anddisputes resolution. To | Seotember - December | ABSL 8105: LOGISTICS AND SUPPLY CHAIN MODELLING | modeling, statistical design, and analysis of simulation experiments; System Dynamics and Modeling Techniques: Definition of a system; System variables; Problem formulation; Discrete event simulation; Supply Chain Simulation and Decision-Making using Simulation: The value of information; Supply chain variation; Bullwhip effect; Risk pooling; Waiting line; Queuing theory, and multi-stage and multi-server problems; Computer Modeling and Experimentation; Model design, testing, verification and val | May - TO-DATE | |