This course will cover the role that procurement and inventory management plays in the business world. The course is designed to teach the students the science and arts of efficient and cost-effective inventory management. The raw material, work in process, and the finished goods inventory management in entirety are dealt with in this course.
Course Catalogue
Course Code: SCM 606
Course Name:
Procurement & Inventory Management
Prerequisite:
All major core courses
Credit Hours:
3.00
Detailed Syllabus:
Course Code: SCM 607
Course Name:
Humanitarian Logistics
Prerequisite:
All major core courses
Credit Hours:
3.00
Detailed Syllabus:
This course will cover how humanitarian relief is provided and explore the logistical concepts and principles that are applied in humanitarian operations. At the end of the course, students will be able to recognize how contextual differences alter the requirements of logistics management during aid operations.
Course Code: SCM 608
Course Name:
Sustainable Supply Chain Management
Prerequisite:
All major core courses
Credit Hours:
3.00
Detailed Syllabus:
This course provides the essential framework, concepts and toolkit required for the strategic management of sustainable logistics and the supply chain. Emphasis will be given to carbon footprint in supply chains, labor issues, as well as sustainable sourcing.
Course Code: SCM 609
Course Name:
Operations Research
Prerequisite:
All major core courses
Credit Hours:
3.00
Detailed Syllabus:
The course is designed to train the students in analytical, experimental and quantitative approaches to solution of business problems. Emphasis is placed upon development of techniques which enable decision-makers to arrive at optimum solutions. Students develop skill in formulating and solving mathematical models dealing with inventory, waiting lines, game theory, linear programming, transportation, dynamic programming simulation and other decision tools.
Course Code: STA 206
Course Name:
Probability and Statistics
Credit Hours:
3.00
Detailed Syllabus:
Introduction. Sets and probability. Random variable and its probability distribution. Treatment of grouped sampled data. Some discrete probability distribution. Normal distribution. Sampling theory. Estimation theory. Tests of hypothesis. Regression and correlation. Analysis of variance.
Course Code: STA 2101
Course Name:
Probability and Statistics
Credit Hours:
3.00
Detailed Syllabus:
Introduction to Statistics: what is statistics, statistical data, statistical methods, scope and limitation of statistics, Populations and Samples, collection and presentation of data, Grouped Data and Histograms, Some Graphical Methods: bar charts, time plots, Pie charts, scatter plots, box and Whisker plots, Measure of Central Tendency: mean, median and mode. Measure of Variations, Measure of Skewness, Moments and Kurtosis, difference between Variation and Skewness. Correlation and Regression Analysis: significance of the study of correlation, types of correlation, difference between correlation and regression Analysis, Sampling and Sampling Distributions, Survey Sampling Methods. Probability: Probability: meaning of probability, classical definition of probability, statistical probability, some theorems in probability, distribution function. Probability distributions: Binomial, normal and exponential distributions.
Course Code: STAT 206
Course Name:
Statistics and Probability
Credit Hours:
3.00
Detailed Syllabus:
Statistics:
Introduction to Statistics: what is statistics, statistical data, statistical methods, scope and limitation of statistics, Populations and Samples, collection and presentation of data, Grouped Data and Histograms, Some Graphical Methods: bar charts, time plots, Pie charts, scatter plots, box and Whisker plots, Measure of Central Tendency: mean , median and mode, Measure of Variations, Measure of Skewness, Moments and Kurtosis, difference between Variation and Skewness, Correlation and Regression Analysis: significance of the study of correlation, types of correlation, difference between correlation and regression Analysis, Sampling and Sampling Distributions, Survey Sampling Methods.
Probability:
Probability: meaning of probability, classical definition of probability, statistical probability, some theorems in probability, distribution function, probability distributions:
Binomial, normal and exponential distributions.