General Relativity and Cosmology – Geometry and Line Element – The Smooth Expanding Universe – Cosmological Parameters, Lookback Time – Age of the Universe – Luminosity Distance – Supernovas and the Accelerating Universe – Angular Diameter Distance – ΛCDM and Alternative Models – Radiation Phase: Nucleossynthesis – Cosmic Relics – Horizons – Flatness and other Problems – Inflationary Scenarios – Baryogenesis – The Perturbed Expanding Universe – Galaxy Formation – Cosmic Background Radiation (CMB) and Power Spectrum. Institute of Astronomy, Geophysics and Atmospheric Sciences (IAG) São Paulo main campus Jos_ Ademir Sales de Lima 25 AGA5717 11 http://www.iag.usp.br/international/

Presentation of the basic analytic theories important for the study celestial motions. Necessary tool for research in theoretical Celestial Mechanics. Institute of Astronomy, Geophysics and Atmospheric Sciences (IAG) São Paulo main campus Canonical equations. Canonical transformations. Separable systems. Delaunay variables. The method of Von Zeipel. Lie series transformations. Hori-Deprit method. Extended phase space. Sylvio Ferraz de Mello 30 AGA5720 11 The discipline will have the participation of Prof. Ricardo Riguera. Full Professor of the Universidade de Santiago de Compostela. Prof. RIguera has experience in the area of chemistry of polymers. http://www.iag.usp.br/international/

Computational neuroscience is a research area in rapid development, comprehending several mathematical and computational techniques to model neurons and networks of neurons at different levels of detail. It is having growing importance in neuroscience, strengthening the interface between this science and so-called exact sciences. Given the interdisciplinary nature of the Physics Applied to Medicine and Biology Graduate Program, it is important that such a course exists to give the student an opportunity to learn the main methods and tools of computational neuroscience. To offer an introduction to the mathematical and computational methods used in theoretical studies in neuroscience. Faculty of Philosophy, Sciences and Letters at Ribeirão Preto (FFCLRP) Ribeirão Preto campus 1. Presentation of computational neuroscience. 2. Basic elements of neuroscience: neurons, synapses and neural circuits. 3. Neuron models I. integrate-and-fire model and its extensions. 4. Neuron models II. the Hodgkin-Huxley model. 5. Neuron models III. Conductance-based and compartmental models. 6. Neuron models IV. Reduced models and phase space analysis. 7. Models of synapses. 8. Models of networks of neurons. Antonio Carlos Roque da Silva Filho 25 5915756 6 Lists of exercises (40% of final grade); Computer projects (60% of final grade). https://www.google.com.br/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwiBp_-p9NzYAhWHkZAKHY_oACkQFggnMAA&url=http%3A%2F%2Fwww.ffclrp.usp.br%2Fdown.php%3Fid%3D1430%26d&usg=AOvVaw3-C7BSHGAhorxoB-Rfx8dD

Most graduate courses refer to theoretical or laboratory “contents” to be taught to students. Our proposal is not only to offer a general course on scientific methodology but to share with the students certain practical aspects of scientific work that are not found in textbooks and/or formal courses. From a constructivist perspective, we emphasize the importance of oral and written communication skills in all aspects of scientific career. To offer an updated view on scientific research, both in its methodological and theoretical aspects as in its daily practice. Faculty of Philosophy, Sciences and Letters at Ribeir?o Preto (FFCLRP) Ribeir?o Preto campus 1. What is science? Introduction to the history and philosophy of science. 2. Why the scientific method is not used by scientists? Feyrabend, Goldstein and knowledge ethics. 3. The first year in a graduate course. a. How to generate ideas: views from scientists of the past and the present. b. The choice of a research theme. The roles of the supervisor and the student. c. How to write a research project to the funding agencies. d. Efficient bibliographic searches. e. Efficient study techniques. 4. The intermediate years in a graduate course. a. Heuristic techniques commonly used in scientific research. b. What to do if your research project seems to be failing. c. How to elaborate the qualification exam work: what the examiners expect from you. d. How to write reports to funding agencies. 5. The last semester in a graduate course. a. How to write a masters dissertation or a doctorate thesis: norms, organization and style. b. How to prepare for the masters dissertation or doctorate thesis defense: what the examiners expect from you. 6. Promoting your research. a. How to promote your work: from preprint servers to scientific meetings. b. How to elaborate a good poster. c. How to give a good seminar. d. How to write well your scientific papers: formal and aesthetic criteria. e. How to submit papers to indexed journals. f. How to respond to reviewers who criticize your work and what to do if your paper is rejected. 7. Special topics on scientific publishing. a. Peer review: pros, cons and alternatives. b. Indexed journals. ISI Web of Science. Impact indices. c. Productivity indices. Brazilian science statistics. d. The science publishing market and the open access movement. 8. The researcher/professor professional career. a. CV preparation. b. Perspectives for a recently formed doctor: postdoctorate and special programs from funding agencies. c. The researcher/professor in universities and public schools. d. The researcher/professor in private universities. e. The researcher in research and technology innovation institutions. f. The researcher-entrepreneur. Antonio Carlos Roque da Silva Filho, Osame Kinouchi Filho 25 5915764 2 EVALUATION CRITERIA: Seminars given by students (S) and reports (R) on seminars given by invited speakers. Final grade: (S +?)/2 where?is the mean of the reports’ grades. https://www.google.com.br/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwiBp_-p9NzYAhWHkZAKHY_oACkQFggnMAA&url=http%3A%2F%2Fwww.ffclrp.usp.br%2Fdown.php%3Fid%3D1430%26d&usg=AOvVaw3-C7BSHGAhorxoB-Rfx8dD

The course aims to give an overview about the physical principles involved in several biological phenomena on topics of biology and health sciences. Some previous experience related to applied physics in medicine and biology is expected from the students in order to provide a more advanced approach. This course gives a comprehensive overview and training on the application of physics to the understanding of biological systems. Physics concepts, statistics, electricity, magnetism, signal processing, therapy and imaging techniques, among others, are used in the discussion of issues of interest to the medical and biological physics. Faculty of Philosophy, Sciences and Letters at Ribeirão Preto (FFCLRP) Ribeirão Preto campus 1. Statistics in Medicine and Biology 2. Systems of Many Particles 3. Transport in an Infinite Medium 4. Transport Through Neutral Membranes 5. Impulses in Nerve and Muscle Cells 6. Electrical and magnetic measurements in biological systems 7. Biomedical signal processing 8. Medical use of ionizing radiation: Imaging and Therapy 9. Medical use of non-ionizing radiation: Imaging Oswaldo Baffa Filho, Ubiraci Pereira da Costa Neves, Carlos Ernesto Garrido Salmon 25 5915702 8 Evaluation Criteria: FS=0.35•E1+0.35•E2+0.30•EW FS=Final score E1 = First Written Exam E2 = Second Written Exam EW = Extra works (Seminars, Exercises) https://www.google.com.br/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwiBp_-p9NzYAhWHkZAKHY_oACkQFggnMAA&url=http%3A%2F%2Fwww.ffclrp.usp.br%2Fdown.php%3Fid%3D1430%26d&usg=AOvVaw3-C7BSHGAhorxoB-Rfx8dD

This course is essential for those who intend to work in many body systems, in order to describe observable macroscopic quantities from the microscopic description of the system. To introduce the basis of statistical mechanics, with a view to their application in different areas, such as magnetism, biology, nuclear physics, etc. Faculty of Philosophy, Sciences and Letters at Ribeirão Preto (FFCLRP) Ribeirão Preto campus 1. Review of ensemble theory (a) microcanonical ensemble (b) canonical ensemble (c) gran canonical ensemble and (d) pressure ensemble 2. Ideal Gas (a) classica gas: Maxwell-Boltzmann statistics (b) quantum gases: quantum statistics: Base-Einstein and Fermi-Dirac 3. Phase transitions and critical phenomena (a) simple fluids: van der Waals equation (b) simple ferromagnet: Curie-Weiss equation (c) Landau theory 4. Ising Model (a) exact solution in one dimension (b) mean-field approach 5. theory of scale and group renormalization (a) scale theory of thermodynamic potentials (b) scale of critical correlations (c) Kadanoff construction (d) Renormalization of the Ising model (e) general scheme of renormalization group Alexandre Souto Martinez 25 5915736 6 Arithmetical mean of two tests. https://www.google.com.br/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwiBp_-p9NzYAhWHkZAKHY_oACkQFggnMAA&url=http%3A%2F%2Fwww.ffclrp.usp.br%2Fdown.php%3Fid%3D1430%26d&usg=AOvVaw3-C7BSHGAhorxoB-Rfx8dD

This course is a continuation of semiconductor material engineering and electronic device courses. In this course, students will be exposed to the basic theories of hetero-structures and their applications for electronic and opto-electronic devices including memories. Specifically, students are exposed to the major types of GaAs and GaN-alloyed semiconductors, their physical properties and structures which make them suitable for electronic and opto-electronic devices. Heterojunction bipolar transistors and modulation-doped field effect transistors will be used to describe the basic characteristics needed for electronic device operation. Then, to explain the required characteristics for opto-electronic devices, semiconductor lasers will be used as an example. 1. Able to explain the fundamentals of semiconductor heterostructures. 2. Able to explain the fundamentals of semiconductor devices (HBT, MODFET, semiconductor laser ) including their electronic and opto-electronic characteristics. 3. Communicate and work in a team to accomplish the given assignments in writing. Malaysia-Japan International Institute of Technology UTMKL Lecture and Discussion, Co-operative and Collaborative Method, Problem Based Method. week 1 – 3, week 4 – 6, etc. AP Ir. Dr. Abdul Manaf Hashim conditional SMJE 4533 3 * Group 5 Textbook: 1. Semiconductor Physics and Devices, basic Principles: Donald A. Neamen, Third Edition, McGraw Hill. 2. Advanced Semiconductor Memories: Architectures, Designs and Applications, Ashok K.Sharma, Wiley-IEEE Press. References: 1. Solid State Electronics Devices: Ben G. Streetman, Prentice Hall (2000). 2. Semiconductor Fundamentals: Pierret R.F, Addison Wesley (1996) 3. The Essence of Solid State Electronics, Linda Edward-Shea, Prentice Hall (1996). Test, Assignment/Quizzes/Presentation, Final Examination AP Ir. Dr. Abdul Manaf Hashim mailto:abdmanaf@utm.my

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

The course introduces the basic theories and concepts as well as their practical implementation on technology management in business. It covers the issues of corporate technology strategies; product, technology standardization and Intellectual properties, process and business model innovation; organization, human resources development, R&D activity, organizational management for effective mobilizing technology and others. Students will be expected to apply the Monozukuri concept in a group project scenario. 1. Demonstrate the importance of technology management and innovation for global business and standardization activities in the rapidly changing technology environment and apply Management of Technology tools in business operation. Apply Monozukuri concept in the project setting. 2. Work effectively within a team to plan corporate strategies for technology business and global standardization through effective use of Technology Management. Prepare and write a group technical report. 3. Prepare and deliver presentation with the use of presentation tool. 4. Accountability within the team. Malaysia-Japan International Institute of Technology UTMKL Lecture and Discussion, Co-operative Learning & Independent Study, Project. week 1, week 2,etc. * not provided conditional UMJG 3032 2 Sem 4 1. Management of Technology Innovation and Value Creation: Selected Papers from the 16th International Conference on Management of Technology (Management of Technology) Mostafa Hashem Sherif. 2. Challenges in the Management of New Technologies (Management of Technologies) Marianne Horlesberger. 3. Management of Technology New Directions in Technology Management: Select Papers from the Thirteenth International Conference on Management of Technology (Management of Technology) Mostafa Hashem Sherif. Assignment, Project Report, Project Presentation, Project Peer Review * not provided