|
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
E 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
|