Description of Departmental Courses
IE
200 Technical Communication
Skills
Communication skills are developed through task-based
learning by involving students in writing, speaking and listening tasks in
English. It also includes in-depth reading, information gathering, analyzing,
criticizing, presenting, paraphrasing and summarizing. By the end of the course each student should
have completed a set of the aforementioned tasks culminating into a
full-fledged AIMRAD-based research report that is communicated both in writing
and orally using appropriate electronic means of communication.
Prerequisites ELIS 104
IE
201 Introduction to
Engineering Design I
Introduction to active learning: teamwork, team
dynamics, team norms and communication, conducting effective meetings and
quality assessment. Problem solving procedure: problem definition, generation
of solutions, selection methodology, solution implementation, assessment of
implementation. Levels of learning and degrees of internalization. Ethical decision.
Organization of the work and design notebook. Reverse engineering and design
projects.
Prerequisites COMM 101, ELIS 104
IE
202 Introduction to
Engineering Design II
Engineering design process. Hands–on real life and
team–based engineering design project: Project management, Problem definition,
Functions and requirements, Alternative solutions, Modeling, Analysis and
optimization, Prototyping, Experimental analysis, Communicating design
outcomes.
Prerequisites IE 200, IE 201
IE
255 Engineering Economy
Fundamentals of engineering economy. Time value of
money. Evaluation of alternatives. Replacement and retention analysis. Break
even analysis. Depreciation methods. Basics of inflation.
Prerequisites MATH 110
IE
256 Engineering Management
Role of engineers in management of organizations.
Managerial functions related to production, inventory and human resources.
Project planning and control. Case studies pertaining to engineering problems.
Prerequisites
IE 255
IE
311 Operations Research I
Introduction to Operations Research. Formulation of
linear programming problems. Graphical solution. The Simplex algorithm. Duality
and sensitivity analysis. Transportation and assignment problems. Integer and
Goal programming.
Prerequisites MATH 241
IE
321 Fundamentals of Computer
Systems
Fundamentals of
computers; hardware, software and computer systems concepts. Introduction to
operating systems and data processing. Overview of programming languages.
Internet and computer security. Introduction to software packages for
Industrial Engineering applications.
Prerequisites EE 201
IE
322 Computer Applications in
Industrial Engineering I
Basics of computer programming languages. Object oriented programming
concepts. Development of application and appropriate algorithms for solving
Industrial Engineering problems.
Prerequisites IE 321
IE
323 Computer Applications in
Industrial Engineering II
Introduction to
computer applications, databases and relational database management systems.
Design and development of databases. Management of database users and security.
Introduction to front-end and its connectivity with the database.
Prerequisites IE 322
IE
331 Probability and
Engineering Statistics
Descriptive
statistics with graphical summaries. Basic concepts of probability and its
engineering applications. Probability distributions of random variables.
Confidence intervals. Introduction to
hypothesis testing. Correlation and linear regression.
Prerequisites STAT 110, MATH 207
IE
332 Engineering Statistics
Basic notions of
statistics applicable to engineering problems. Moment generating functions.
Random samples and sampling distributions. Parameter estimation. Hypothesis
testing. Nonparametric tests. Simple and multiple regressions.
Prerequisites IE 331
IE
341 Work Study
Introduction to
Work Study (WS). Productivity and WS. WS approaches. Basic procedure of motion
study: job selection, recording facts, critical examination, etc. String
diagram, Multiple activity chart, Travel chart. Principles of motion economy.
Two-handed chart. Fundamental hand motions. Micro-motion and Memo-motion
studies. Cyclegraph and Chrono-cyclegraph. Work Measurement (WM). Work
sampling. Time study. Computerized WM. PMTS: MTM, Work factor and Standard data.
Wage payment and incentive plans.
Prerequisites IE 331
IE
342 Human Factors Engineering
Introduction to
human factors engineering. Muscular work. Nervous control. Work efficiency.
Body size and anthropometrics. Workstation design. Heavy work. Handling loads.
Man-machine systems. Mental activity. Fatigue. Stress and boredom. Vision and
lighting. Noise and vibration.
Prerequisites IE 341
IE
351 Industrial Management
Introduction to
industrial management. Economic concepts in industry. Organizational structure
and design. Human resource management. Motivating the work force. Managing
information technology. Financial management. Engineers in marketing and
services. Job analysis, job description and job specification. Preparation of
business plan.
Prerequisites IE 256
IE
352 System Analysis and Design
System definition,
characteristics and concepts. Systems development projects: identification,
selection, initiation, planning and managing. System analysis: determining and
structuring requirements. System design: overview, forms and reports,
interfaces and dialogues, and finalizing design specifications. Designing
distributed and internet systems. System implementation and maintenance.
Prerequisites IE 351
IE
390 Summer Training
10 weeks of supervised
hands-on work experience at a recognized firm in a capacity which ensures that
the student applies his engineering knowledge and acquires professional
experience in his field of study at KAU.
The student is required to communicate, clearly and concisely, training
details and gained experience both orally and in writing. The student is
evaluated based on his abilities to perform professionally, demonstrate
technical competence, work efficiently, and to remain business focused, quality
oriented, and committed to personal professional development.
Prerequisites IE 422, IE 432
IE
395 IE Seminar
Literature review
methodologies and sources. Review of a recently published IE book or topic
pertaining to contemporary social, economic or environmental issues in
industrial engineering. Delivering a seminar lecture by a team of students
based on a term paper prepared by them.
Prerequisites IE 351
IE
400 Cooperative Work Program
Undertaking
practical training for 26 weeks under supervision of an academic advisor and a
company supervisor in a company performing industrial engineering activities.
Submitting, as per schedule, three coop progress reports. Submitting a coop
final report containing matters as specified in the cooperative education
program document. Multimedia presentation of achieved work.
Prerequisites IE 422, IE 432
IE
411 Operations Research II
Non-linear
programming. Dynamic programming. Inventory models. Waiting line models. Markov
analysis. Introduction to Game theory. Applications in industrial, service and
public systems.
Prerequisites IE 311, IE 332
IE
412 Decision Analysis
Principles of
decision making under uncertainty. Decision models: influence diagram and
decision tree. Solution and analysis of decision problems. Value of information.
Attitudes towards risk. Utility theory. Multi-attribute decision problems.
Prerequisites IE 255, IE 331
IE
413 Network Analysis
Introduction to
network analysis with industrial applications. Systems modeling and analysis
using network techniques. CPM with LP formulation, PERT with LP formulation and
cost analysis. Other network algorithms: Minimum spanning tree, shortest path
and maximal flow problem. Flowgraph theory. GERT: exclusive OR networks.
Prerequisites IE 311, IE 331
IE
415 Project Management
Introduction to
engineering project management. Planning successful projects. Specifying,
budgeting, implementing, executing, scheduling, delivery options, and closeout.
Scheduling tasks and resources. Resource leveling. Common characteristics of
projects. Network tools for project planning and monitoring. Cost optimization
to meet project objectives. Project crashing, time-cost trade-offs. Risk
analysis. Software for project planning and scheduling.
Prerequisites IE 351
IE
421 Industrial Information
Systems
General concepts.
Values and attributes of information. Different types of information systems.
Concepts of managerial information systems. ِِِAnalysis,
design and development of industrial information systems. Developing information
systems by using microcomputers
Prerequisites IE 323
IE
422 Industrial Systems
Simulation
Basic
techniques of computer simulation, building simulation models, organization of
simulation studies, modeling concepts of and its application to the medium and
large-scale production and services system problems
Prerequisites IE 322
IE
423 Computer Aided
Manufacturing Systems
Foundation of
CAD/CAM. Fundamentals of CAM. Computer graphics software and data. Computer
aided manufacturing: numerical control, NC part programming, NC, DNC and CNC
systems. Industrial robots and applications. Computer Integrated manufacturing
systems (CIMS).
Prerequisites IE 322
IE
424 Data Processing Operations
Concepts of
advanced database management system design, principles and techniques. Entity
relationship diagram. Normalization. Object oriented and object relational
databases. Data warehousing. Data mining. Web and semi structural data. Data
Security.
Prerequisites IE 323
IE
425 Industrial Information
Security
Introduction to
information security. Assessment of threats, vulnerabilities and risk exposure.
Models for estimating risks and optimizing return on information security
investment. Computer forensics, electronic evidence, frauds, cyber terrorism
and computer criminal laws.
Prerequisites IE 321
IE
431 Industrial Quality Control
Introduction to quality systems: ISO, Cost of quality; Review of
statistical concepts; Management planning tools, tree diagram, matrix diagram,
FMEA and VSM; The DMAIC process; Control charts for variables, attributes and
Batch processes, Process capability analysis; Acceptance Sampling Plans (Single
plans and multiple plans), Operating characteristics curves; Taguchi's
philosophy, Quality Loss Functions, Robust, six sigma and Reengineering.
Statistical quality control: control charts for variables and attributes,
process capability analysis, acceptance sampling plans. Quality function
deployment. Quality circles. Quality loss functions.
Prerequisites IE 332, IE 351
IE
432 Design of Industrial
Experiments
Principles of
experimental design. Randomized complete block designs. Latin square and
Greco-Latin square designs. General factorial designs. 2k
Factorial
designs, Response surface methodology and robust design. Planning, performing
and analyzing industrial experiments.
Prerequisites IE 332
IE
433 Reliability Engineering
Introduction to reliability analysis. Reliability
measures: reliability function, expected life, hazard function of important
distribution functions. Hazard models and product life. Extreme value
distribution. Static reliability models. Dynamic reliability models. System
effectiveness measures. Reliability allocation and optimization. Introduction
to fault tree analysis and human reliability.
Prerequisites IE 332
IE
434 Industrial Stochastic
Systems
Deterministic and
stochastic processes. Poisson process and related distributions. Birth and
death processes. Markov processes with continuous state space. Renewal process
and theory. Markovian decision processes in industry. Markovian and
non-Markovian systems. Stochastic models for transportation and maintenance
systems. Introduction to simulation modeling of stochastic systems.
Prerequisites IE 332
IE435 Queuing Systems
Characteristics of
queuing systems. General arrival and service patterns. Poisson process and
Erlangian models. Birth and death processes in queuing systems. Markovian and
non-Markovian queuing models. Steady state and transient solutions.
Optimization in queuing systems. Queuing applications in production,
transportation, communication and public service systems.
Prerequisites IE 331
IE
436 Dynamic Forecasting
Time series and
forecasting. Forecasting accuracy. Monitoring and controlling forecasts. Linear
and multiple regression with forecasting applications. Box-Jenkins (ARIMA)
methodology. Introduction to fundamental and technical analysis with
applications in financial markets. Introduction to neural networks. Judgmental
forecasting.
Prerequisites IE 332
IE
441 Industrial Safety
Engineering
Accident: causes
and costs. Appraising safety performance and risk assessment. Analysis of
accident causes. Accident reports and records. Job safety analysis. Plant
inspection. Accident investigation. Plant layout and arrangement. Plant
housekeeping. Maintenance and safety. Material handling and safety. Machine
guarding. Explosion and fire prevention. Personal protection. First aid.
Planning for emergencies.
Prerequisites IE 342
IE
442 Industrial Hygiene
Engineering
Occupational
exposure: permissible levels and legal aspects. Hazards' anticipation and
recognition. Physical hazards particularly heat, noise and vibration, light,
non-ionizing and ionizing radiations: assessment and control. Chemical agents:
assessment and control. Industrial ventilation. Design of local exhaust systems.
Prerequisites IE 342
IE
443 Industrial Environmental
Engineering
Basics of natural
systems. Industrial environment as part of the ecological system. Water quality
management. Wastewater treatment. Air pollution. Noise pollution. Solid waste
management. Hazardous waste management. Ionizing radiation. Case studies.
Prerequisites IE 342
IE
444 Occupational Biomechanics
Introduction to
Occupational Biomechanics. Kinematics and kinetics. Anthropometry. Mechanical
work-capacity evaluation. Bioinstrumentation for Occupational Biomechanics.
Biomechanical models. Methods of classifying and evaluating manual work. Manual
material handling limits. Biomechanical considerations in machine control and
workplace design. Hand tool design guidelines. Guidelines for seated work.
Prerequisites IE 342
IE
450 Marketing Management and
Research
Study of marketing
theory. Methods of marketing. Interrelationship of the different phases of
marketing strategies. Consumer decision processes through behavioral sciences.
Theories and techniques of planning, analyzing and presenting market studies.
Methodologies of marketing research with emphasis on primary research including
questionnaire design.
Prerequisites IE 351
IE
451 Production Planning and
Control
Basic concepts of
Production and Operations Management (POM). Design of products and services.
Processes and technologies. E-commerce and operations management. Inventory
management. Supply-Chain management. Just in time and lean production.
Forecasting. Material Requirements Planning (MRP). Introduction to Enterprise
Requirement Planning (ERP). Capacity and aggregate planning. Scheduling.
Prerequisites IE 351
IE
452 Maintenance and
Replacement Policies
Maintenance
systems. Maintenance operation and control. Preventive Maintenance: concepts,
modeling, and analysis. Maintenance planning and scheduling. Maintenance
material control. Computerized Maintenance Management Systems. Replacement
studies. Case studies.
Prerequisites IE 332, IE 351
IE
453 Facilities Planning
Fundamentals of
facilities planning. Facilities design. Flow, space and activity relationships.
Material handling systems. Layout planning models. Warehouse operations.
Quantitative facilities planning models. Preparing, presenting, implementing
and maintaining facilities plan.
Prerequisites IE 342, IE 352
IE
454 Engineering Cost Analysis
Importance of cost
analysis in engineering. Cost terms and concepts. Cost estimation for decision
making cost-volume-profit analysis, measuring relevant costs and revenues, cost
assignment and activity-based costing. Cost evaluation of engineering
alternatives. Case studies.
Prerequisites IE 255
IE
455 Material Handling and
Packaging
Historical
development of material handling and packaging. Objectives and principles of
material handling. Material handling concepts: unit load, containerization,
ASRS. Types of material handling equipment and their economics. Role of
packaging in material handling. Areas of special importance to packaging.
Package design. Economics of packaging. Package research and testing.
Management of the packaging function.
Prerequisites IE 255, IE 331
IE
456 Feasibility Studies
Introduction to
feasibility studies: project identification, product mix and scope. Marketing
feasibility: present and future market study, demand, pricing, and
revenue. Technical feasibility: site
selection, material, labor, equipment, knowhow, and shipping. Financial
feasibility: project financing, production cost, break-even analysis,
profitability analysis Organizational and administrative feasibility:
Organizational structure, governmental regulations, safety and environmental
standards, patents and human relations. Reporting and presentation. Case
studies.
Prerequisites IE 255, IE 352
IE
457 Supply Chain Management
Introduction to
Supply Chains (SC). Flow across SC of products, information and revenue. SC
operations: issues, opportunities, tools, approaches, inter-corporate
relationships, incentives and risk factors. SC design: customer service,
quality, logistics, inventory, business processes, system dynamics, control, design,
and re-engineering. Integrated SC management: forecasting, global sourcing, and
virtual integration. Technology as an SC tool: internet technologies and
digital coordination of decisions and resources. Case studies.
Prerequisites IE 351
IE
458 Strategic Management in
Industry
Overview of
operations strategy for competitive advantage. Evaluation of a firm’s external
environment using Porter Five Forces Model. Evaluation of a firm’s internal
capabilities using the VRIO framework. Cost leadership versus product
differentiation strategies. Vertical integration and corporate diversification.
Strategic alliances, mergers and acquisitions. Real life examples and case
studies from industry.
Prerequisites IE 351
IE
459 Introduction to
Entrepreneurship
Basic framework
for understanding the process of entrepreneurship, principles of management and
related techniques in decision making, planning, marketing, and financial
control. Exercises in product design and prototype development, preparation of
workable project feasibility reports, practical ideas about launching own
enterprises. Classroom lectures are combined with field study and exercises
supplemented with guest lectures and case studies on small and medium scale
industries
Prerequisites IE 351
IE
490 Special Topics in
Industrial Engineering
In-depth study of
relevant industrial engineering topics not covered in other courses of the
program in order to enhance students' knowledge in the field of industrial
engineering.
Prerequisites Department Approval
IE
491 Industrial Engineering
Practice
Overview of all
areas of Industrial Engineering (IE). Identification of specific IE tools for
industrial and business enterprises. Brainstorming sessions of several
pre-selected industrial and business enterprises. Visiting the sites and
conducting walk-through surveys. On-site studies of IE applications and
practices. Preparation of visit-reports containing findings, comments and
recommendations pertaining to every visit. Multimedia-based presentation of visit-reports.
Prerequisites IE 341, IE 351
IE
499 Senior Project
Technical writing
skills. Project work: a team-based capstone design work involving a practical,
open ended, real life unstructured problem having a set of alternative
solutions; emphasis on synthesis of knowledge and skills to assimilate and
demonstrate a professional attitude and ethics in problem solving with
assessment of environmental, cultural and social impacts; final output in the
form of written report based on specified standard format, followed by a
multimedia presentation of the work undertaken in the project.
Prerequisites IE 422 and IE 432
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