The course covers Digital Filters design, Adaptive Filters, Hardware and Software of DSP, Correlation and Spectral Estimation of Random signals, and Time-Frequency Spectrum Analysis. This course introduces the Problem/Project Based Learning (PBL) on various applications in DSP. The PBL will focus on audio, speech signal processing. 1. Apply and investigate digital signal processing methods appropriately in signals and systems. 2. Analyse the signal processing problems in general electronic systems. 3. Design digital filter systems and investigate its performance. 4. Use modern technical software e.g. MATLAB for designing and examining the DSP systems. 5. Use technology for presenting a DSP task/project appropriately through written mode. Malaysia-Japan International Institute of Technology UTMKL Lecture and Discussion, Co-operative and Collaborative Method, Demonstration, Problem Based Method. week 1, week 2, etc. Prof. Dr. Nozomu Hamada conditional SMJE 3163 3 Sem 6 1. Li Tan, Digital Signal Processing, Fundamentals and Applications, Academic Press, 2008 2. Steven Smith, The Scientist and Engineer’s Guide to Digital Signal Processing. http://www.dspguide.com/pdfbook.htm. 3. Oppenheim, Schafer, and Buck, Discrete-Time Signal Processing, Prentice-Hall, 1998 Test, Assignment, Project, Final Examination Prof. Dr. Nozomu Hamada mailto:nozomu@utm.my

This course introduces students to the fundamentals of three important techniques of artificial intelligence (AI), namely, artificial neural networks (ANN), genetic algorithm (GA), and fuzzy logic. These techniques have been successfully applied by many industries in consumer products and industrial systems. ANN provides strong generalization and discriminant properties and offer a simple way of developing system models and function approximation. GA is adaptive heuristic search algorithm based on the evolutionary ideas of natural selection and genetics for optimization and search problems. Fuzzy logic offers flexibility in developing rule-based systems using natural language type of rules. They are highly applicable for many pattern recognition applications. This course gives the students appropriate knowledge and skills to develop, design and analyze effectively these AI techniques for practical problems with some degree of accuracy. The students will also be given a hands-on programming experience in developing fuzzy logic and neural networks system as well as genetic algorithm, to effectively solve real world problems. 1. Design systems using ANN, GA and fuzzy logic for real world applications based on theoretical framework. 2. Demonstrate the ability to acquire information from various resources about the development of ANN, GA and fuzzy logic for various applications. 3. Demonstrate the ability to develop fuzzy logic, ANN and/or GA using appropriate programming languages or software tools for solving application.

Malaysia-Japan International Institute of Technology UTMKL Lecture and Discussion, Co-operative and Collaborative Method, Problem Based Method. week 1, week 2, etc. Prof. Datin Dr. Rubiyah Yusof conditional SMJE 3203 3 Sem 6 1. J. McCarthy, What is Artificial Intelligence http://www-formal.stanford.edu/jmc/whatisai/whatisai.html 2. S. N. Sivanandam, S. Sumathi and S. N. Deepa, Introduction to Fuzzy Logic using MATLAB, Springer-Verlag, Berlin, 2007 3. Fuzzy Logic Toolbox For Use with MATLAB® , The Mathworks Inc., 2006 4. Neural Network Toolbox For Use with MATLAB® , The Mathworks Inc., 200 Test, Assignment, Project, Final Examination Prof. Datin Dr. Rubiyah Yusof
Dr. Mohd Ibrahim Shapiai mailto:rubiyah.kl@utm.my,md_ibrahim83@utm.my

This course provide the fundamental knowledge and principles of Computer Aided Design and Computer Aided Manufacturing and generate the hands on skill and technical application of CNC CAD/CAM through given p=roject
This course provide the fundamental knowledge and principles of Computer Aided Design and Computer Aided Manufacturing and generate the hands on skill and technical application of CNC CAD/CAM through given p=roject
This course provide the fundamental knowledge and principles of Computer Aided Design and Computer Aided Manufacturing and generate the hands on skill and technical application of CNC CAD/CAM through given p=roject
This course provide the fundamental knowledge and principles of Computer Aided Design and Computer Aided Manufacturing and generate the hands on skill and technical application of CNC CAD/CAM through given p=roject
This course provide the fundamental knowledge and principles of Computer Aided Design and Computer Aided Manufacturing and generate the hands on skill and technical application of CNC CAD/CAM through given p=roject
This course provide the fundamental knowledge and principles of Computer Aided Design and Computer Aided Manufacturing and generate the hands on skill and technical application of CNC CAD/CAM through given project 1. Able to appty knowledge of Computer Aided Design and Computer Aided Manufacturing to the solution of engineering problems. 2. Able to develop engineering solution for engineering problems that meet specified needs with appropriate Computer Aided Design and Computer Aided Manufacturing approach. 3. Work in a team to accomplish the given project in demonstration, writing and presentation.

Malaysia-Japan International Institute of Technology UTMKL Lecture and Discussion, Co-operative and Collaborative Method, Problem Based Method week 1, week 2, etc. Dr Ahmad Muhsin Ithnin conditional SMJP 4633 3 Sem 8 1. CAD/CAM computer Aided Design and Manufacturing by Groover, prentice Hall 1984. 2. Understanding CAD/CAM by Bowman, Howard Co. 1986. 3. Computer Aided Manufacturing by Hsu-Pin Wang, second edition, 1999. 4. CAD/CAM by Taylor, Addison Wesley 1992. 5. Mikell P. Groover, Automation, Production systems and computer integrated manufacturing, Prentice Hall of India Private Ltd., New Delhi, 2001. 6. Ibrahim Zeid, CAD/CAM Theory and Practice, Tata McGraw-Hill Publishing Co. Ltd., New Delhi, 2001.
Report, Presentation, Peer Review Dr.Ahmad Muhsin bin lthnin mailto:ahmadmuhsin@utm.my

This course provides knowledge on fundamental principles of ethics, and their application to the engineering profession. It also covers the skills and knowledge in promoting and maintaining health and safety in the workplace. The importance of acquiring professional ethics, safety and health will be explored through project by introducing the concept of Monozukuri. 1. Acquire knowledge of the principles of professional ethics, safety and health of engineer at the workplace, and the responsibility of engineer in the society. 2. Work effectively within a team to explain the various issues related to professional ethics, safety and health, and also understand the importance of environmental issues and sustainability. Prepare and write a group technical report. 3. Prepare and deliver presentation with the use of Microsoft PowerPoint technology. Malaysia-Japan International Institute of Technology UTMKL Lecture and Discussion, Co-operative Learning & Independent Study, Project week 1, week 2, etc. Prof. Dr. Akira Kobayashi conditional UMJG 2022 2 Sem 2 1. M. W. Martin and R. Schinzinger (2005), Ethics in Engineering, Mc-Graw Hill, New York. 2. M Govindarajan, S Natarajan, VS Senthilkumar (2004), Engineering Ethics, Prentice Hall of India, New Delhi. 3. R. Schinzinger and M. W. Martin (2000), Introduction to Engineering Ethics, McGraw-Hill, United States. 4. C. B. Fleddermann (2012), Engineering Ethics, Prentice Hall, New Jersey. 5. M. T. Holtzapple and W. D. Reece (2005), Concepts in Engineering, McGraw-Hill, New York. Project Report, Project Presentation Prof. Dr. Akira Kobayashi
Dr. Mohamed Sukri Mat Ali mailto:a.kobayashi@utm.my,sukri.kl@utm.my