Diploma in Industrial Engineering
Objective: Provide comprehensive industrial engineering training
to graduates in other engineering fields and in the physical and mathematical
sciences.
Admission Requirements: Bachelor’s Degree in Engineering, Physical Sciences, or Mathematical Sciences; above-average academic performance in the undergraduate level
Duration: Maximum of three (3) years
INDUSTRIAL ENGINEERING COURSES
IE 201 Industrial Management. Organization theory; management principles; managerial functions; the industrial environment; functional areas of the industrial enterprise; human behavior & motivation. 2 u.
IE 202 Industrial Materials and Processes. Properties & characteristics of common engineering materials: metals, plastics, wood, ceramics, fiber & pulp. Production processes & design considerations in the manufacture of such materials. 2 u.
IE 203 Industrial Productivity. Productivity concepts & techniques; methods engineering; systems & procedures; human factors engineering; value engineering. 2 u.
IE 211 Quantitative Methods in Industrial Engineering I. Logic theory. Data analysis; descriptive statistics; probabilities; random variables; expectations; probability distributions; estimation & industrial engineering applications. Prereq: Math 54/ equiv. 2 u.
IE 212 Quantitative Methods in Industrial Engineering II. Tests of hypotheses in industrial engineering problems; regression & correlation; statistical control charts; sampling acceptance plans; specifications & tolerances; reliability & life testing. Prereq: IE 211. 2 u.
IE 214 Introduction to Operations Research. Operations research methodology; linear algebra; basic linear programming; network analysis; dynamic programming; illustrative problems in queuing & inventory. Prereq: Math 54/ equiv. 2 u.
IE 221 Project Development and Evaluation. The project environment; project identification; project organization; market, technical & financial feasibility analysis of projects; measure of profitability; benefit-cost analysis; selections among alternatives. Prereq: IE 201, 202, 203. 2 u.
IE 222 Production Planning and Control Systems. Production systems & functions. Forecasting, inventory planning, aggregate planning, capacity planning, scheduling, maintenance & cost control. Prereq: IE 214; coreq: IE 212. 2 u.
IE 223 Industrial Systems Analysis and Design. Industrial systems definition; components, boundaries & environment; methods employed in systems analysis; criteria & constraints for systems design; identification & evaluation of alternative designs. Prereq: IE 201, 202, 203. 2 u.
IE 229 Research Projects. Prereq: IE 214. 2 u.
Admission Requirements: Bachelor’s Degree in Engineering, Physical Sciences, or Mathematical Sciences; above-average academic performance in the undergraduate level
Duration: Maximum of three (3) years
INDUSTRIAL ENGINEERING COURSES
IE 201 Industrial Management. Organization theory; management principles; managerial functions; the industrial environment; functional areas of the industrial enterprise; human behavior & motivation. 2 u.
IE 202 Industrial Materials and Processes. Properties & characteristics of common engineering materials: metals, plastics, wood, ceramics, fiber & pulp. Production processes & design considerations in the manufacture of such materials. 2 u.
IE 203 Industrial Productivity. Productivity concepts & techniques; methods engineering; systems & procedures; human factors engineering; value engineering. 2 u.
IE 211 Quantitative Methods in Industrial Engineering I. Logic theory. Data analysis; descriptive statistics; probabilities; random variables; expectations; probability distributions; estimation & industrial engineering applications. Prereq: Math 54/ equiv. 2 u.
IE 212 Quantitative Methods in Industrial Engineering II. Tests of hypotheses in industrial engineering problems; regression & correlation; statistical control charts; sampling acceptance plans; specifications & tolerances; reliability & life testing. Prereq: IE 211. 2 u.
IE 214 Introduction to Operations Research. Operations research methodology; linear algebra; basic linear programming; network analysis; dynamic programming; illustrative problems in queuing & inventory. Prereq: Math 54/ equiv. 2 u.
IE 221 Project Development and Evaluation. The project environment; project identification; project organization; market, technical & financial feasibility analysis of projects; measure of profitability; benefit-cost analysis; selections among alternatives. Prereq: IE 201, 202, 203. 2 u.
IE 222 Production Planning and Control Systems. Production systems & functions. Forecasting, inventory planning, aggregate planning, capacity planning, scheduling, maintenance & cost control. Prereq: IE 214; coreq: IE 212. 2 u.
IE 223 Industrial Systems Analysis and Design. Industrial systems definition; components, boundaries & environment; methods employed in systems analysis; criteria & constraints for systems design; identification & evaluation of alternative designs. Prereq: IE 201, 202, 203. 2 u.
IE 229 Research Projects. Prereq: IE 214. 2 u.
