This document contains information about a lecture on Computer Applications in Industrial Engineering by Dr. Atif Shahzad. It includes Dr. Shahzad's educational and professional background, research and teaching interests, and an overview of the course content and methodology. The course will cover programming paradigms like object technology and languages like C#. It will discuss how computers and programming work, and introduce the .NET framework. Students will complete assignments, quizzes, projects and exams as part of their assessment.
2. _____________________Dr. Atif Shahzad
BE, MECHANICAL ENGINEERING
UNIVERSITY OF ENGINEERING & TECHNOLOGY, TAXILA, PAKISTAN, 2000
MCS, SOFTWARE ENGINEERING
SZABIST,, ISLAMABAD, PAKISTAN, 2003
MS, AUTOMATION & PRODUCTION SYSTEMS
ECOLE CENTRALE DE NANTES, NANTES, FRANCE, 2007
PhD, AUTOMATION & APPLIED INFORMATICS
UNIVERSITE DE NANTES, NANTES, FRANCE, 2011
EMAIL: atifshahzad@Gmail.com
TEL: +92-333-5219846
LINKEDIN: pk.linkedin.com/in/dratifshahzad
3. _____________________Dr. Atif Shahzad
ASSOCIATE PROFESSOR, INDUSTRIAL
KING ABDULAZIZ UNIVERSITY, KSA
ASSOCIATE PROFESSOR, MECHANICAL
CECOS UNIVERSITY, PAKISTAN.
ASSOCIATE PROFESSOR, INDUSTRIAL/MECHATRONICS
TEC DE MONTERREY, MEXICO.
ASSOCIATE PROFESSOR, MECHANICAL ENGINEERING
IIUI, ISLAMABAD, PAKISTAN
GENERAL MANAGER, SYSTEM ENGINEERING
NESCOM, ISLAMABAD
LECTURER, LOGISTICS & PRODUCTION SYSTEMS
ECOLE DES MINES DE NANTES, NANTES, FRANCE.
4. TEACHING INTERESTS
Courses
Applied Engineering Optimization
Applied Combinatorics
Artificial Intelligence
ARENA/SIMIO
CIM Systems
Control Engineering
Heuristic Search
Engineering Statistical Analysis
Engineering Mechanics (Statics, Dynamics)
Industrial Engineering
Manufacturing System Planning
Mechanics of Materials
Matlab/Simulink
Modeling and Simulation
Multi-criteria Optimization
Operation Research
Operations Management
Project Management
Robotics
Scheduling Theory
Supply Chain Management
System Simulation
System Engineering
Technical Computing
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5. RESEARCH INTERESTS
• ApplicationS of Optimization
– Manufacturing system analysis
– Engineering applications of meta-heuristics
– Combinatorial optimization
– Multicriteria Optimization
• Manufacturing system analysis
– Mathematical Modeling
– Simulation Modeling & Analysis
– Scheduling theory
– Assembly Line
• Discrete Event Systems
– PetriNets
• Supply Chain simulation an Analysis
• Data Mining
• Operation Research
6. INTRODUCTIONS
• Introduce yourself, please !
• What do you know about Computer & Programming?
• What do you expect from this course?
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9. GENERAL INSTRUCTIONS – Classroom decorum
Class sanctity is the top most in our agenda
while class is in session. No eating or drinking during
lectures. Mobile phones need to be in silent mode.
Anyone flouting these rules may face a deduction in class
participation grades.
Attendance call may be random at times and
late comers will be considered as absent in the class.
Break timing will be strictly observed, if any.
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10. GENERAL INSTRUCTIONS--Participation
Students who present new ideas
/industry developments
in the class will be highly encouraged
and will have a positive impact on
their class participation grade.
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11. GENERAL INSTRUCTIONS--Assignments
Timely submission of Assignments is mandatory and if not
turned in when due, the student will not be graded.
Individual homework means individual effort.
Assignments are to be submitted as your own work and
may only be submitted via Blackboard. If you are planning
to miss a class due to some prior commitment, an official
leave permission slip is required, otherwise NO makeup
assignment or quiz will be allowed.
All case studies and assignmenta are also potential exam
material.
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12. HOW DOWE INTENDTO DELIVER
LECTURES, LABs, QUIZ and EXAM
LECTURES
Lecture notes will be on Power Point Slides in pdf format
We will have them available in class and you are welcome
to take them after the class
Students can bring anything they are comfortable with for
taking the class notes
We will see education videos/demos
Slides important for exam may be highlighted
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!
13. EXAM METHODS
There will be Assignments and Quizzes in most of the lectures
with appropriate weightage.
Absentees in Quizzes will be marked ZERO.
All students will submit their assignments either as a hard or
soft copy (Instructor would specify in all the assignments).
Professional quality reports are expected in all cases.
Late assignments without prior approval of the instructor will
not be accepted.
MidTerm and EndTerm Exams as per KAU policy.
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15. PROJECTs
The Project will have weightage of 20%
The projects will be executed in teams of three to five
students and be incorporated into the course as the posters,
demonstrations and a final report along with phase
evaluations carrying weightage as in next slide.
Project is primarily a group project with phased-deliverables
Each student should present a part of the project in the final demo
showing his/her contribution.
It is mandatory to make a logbook of the project
The final report will take on the form of a professional report
in MS-Word or Latex (pdf with source).
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16. PROJECT
There will be two progress evaluations and a final evaluation of the project.
Evaluation is meant to assess individual contributions/roles
Final report mentioning the contribution of each individual is mandatory.
Deadlines for each phase will be notified later.
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Phase Contents/Deliverables %
1 Idea, Relevance to IE/Real
world scenario/Society
2+2
2 GUI/front end 3
3 Algorithmic Implementation
& Demonstration
5
4 Report + Poster 4+4
17. PROJECT
The draft report and poster is due by the
13th LECTURE
The final report and demonstration ( COMPLETED
with all aspects) is due by the
14th LECTURE
Progress Evaluations will take place immediately
after the major exams.
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18. CLASS PARTICIPATION
Class Participation is highly recommended as
this would be an interactive class.
Add on whenever you like.
Ask question as soon as it comes to mind, keeping
in mind the flow of lecture.
We will write down questions that come and we
would review them as the course progresses or at
the end of the semester as to what we think today
and how does this change over the course of the
semester.
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19. Student Outcome 1
An ability to identify, formulate and solve
complex engineering problems by applying
principles of engineering, science, and
mathematics
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20. Student Outcome 2
An ability to apply engineering design to
produce solutions that meet specified
needs with consideration of public health,
safety, and welfare, as well as global,
cultural, social, environmental, and
economic factors
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30. How to interact with Computers?
Machine
Language
Assembly
Language
High-Level
Language
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English-like abbreviations
assemblers
Interpreter
compilers
1001010101
Almost like everyday
English & Math