COURSE OUTLINE
1. Suject SCMA633 STOCHASTIC PROCESSES
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2. Program/Course Type MASTER OF SCIENCE PROGRAM IN APPLIED MATHEMATICS
3. Course Objecttive 1. CLO1: do assigned problems independently
2. CLO1: do assigned problems independently
3. CLO2: perform analyzing problems that need stochastic models
4. CLO2: perform analyzing problems that need stochastic models
5. CLO3: conduct modeling and selecting suitable methods of stochastic processes to solve problems in sectors of science and engineering
6. CLO3: conduct modeling and selecting suitable methods of stochastic processes to solve problems in sectors of science and engineering
7. CLO4: apply the theory of stochastic processes-analysis to the real world problems
8. CLO4: apply the theory of stochastic processes-analysis to the real world problems
9. CLO5. communicate in English efficiently solutions/decisions, both writing and speaking
4. Course Director Assoc.Prof.DR. CHONTITA RATTANAKUL
5. Course Lecturer
6. Coordinator   Tel.
7. Teaching Plan
week/No.Tiltlelecture hourLaboratory HourSelf study HourActivitiesTeacher
01Brief Stochastic Process3 Teaching method:
Interactive lecture, ef-fective questioning, formative assessment, problem solving, problem based activities
Media:
lecture notes, slides
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01Brief Stochastic Process3 0 6 Teaching method:
Interactive lecture,effective questioning,
formative assessment, problem solving, problem-based activities

Media:
lecture notes, slides, individual assignments
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02Markov Chain and Random Walks3 0 6 Teaching method:
Interactive lecture,effective questioning,
formative assessment, problem solving, problem-based activities

Media:
lecture notes, slides, individual assignments
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02Markov Chain I3 Teaching method:
Interactive lecture, ef-fective questioning, formative assessment, problem solving, problem based activities
Media:
lecture notes, slides
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03Markov Chain II3 Teaching method:
Interactive lecture, ef-fective questioning, formative assessment, problem solving, problem based activities
Media:
lecture notes, slidess I
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03Stochastic Models Classification of Markov Chain states 3 0 6 Teaching method:
Interactive lecture,effective questioning,
formative assessment, problem solving, problem-based activities

Media:
lecture notes, slides, individual assignments
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04Stochastic Models II Advanced Markov Chain 3 0 6 Teaching method:
Interactive lecture,effective questioning,
formative assessment, problem solving, problem-based activities

Media:
lecture notes, slides, individual assignments
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04Markov Process I3 Teaching method:
Interactive lecture, ef-fective questioning, formative assessment, problem solving, problem based activities
Media:
lecture notes, slides
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05Markov Process II3 Teaching method:
Interactive lecture, ef-fective questioning, formative assessment, problem solving, problem based activities
Media:
lecture notes, slides
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05Stochastic Simulation I Generation of Random Variables 3 0 6 Teaching method:
Interactive lecture,effective questioning,
formative assessment, problem solving, problem-based activities

Media:
lecture notes, slides, individual assignments
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06Poisson and Exponential variables Poisson processes in Queuing Theory3 0 6 Teaching method:
Interactive lecture,effective questioning,
formative assessment, problem solving, problem-based activities

Media:
lecture notes, slides, individual assignments
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06Random Walks3 Teaching method:
Interactive lecture, ef-fective questioning, formative assessment, problem solving, problem based activities
Media:
lecture notes, slides
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07Poisson Process3 Teaching method:
Interactive lecture, ef-fective questioning, formative assessment, problem solving, problem based activities
Media:
lecture notes, slides
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07Poisson Process I Queuing Systems A: Concepts 3 0 6 Teaching method:
Interactive lecture,effective questioning,
formative assessment, problem solving, problem-based activities

Media:
lecture notes, slides, individual assignments
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08Review3 0 6 Teaching method:
Interactive lecture,effective questioning,
formative assessment, problem solving, problem-based activities

Media:
lecture notes, slides, individual assignments
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08Review-Team presentation I3 Teaching method:
Interactive lecture, ef-fective questioning, formative assessment, problem solving, problem based activities
Media:
lecture notes, slides
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09Midterm examination
09Midterm examination
10-11Poisson Process II Queuing Systems B: Performance Markov Process 6 0 12 Teaching method:
Interactive lecture,effective questioning,
formative assessment, problem solving, problem-based activities

Media:
lecture notes, slides, individual assignments
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10Birth and death processes3 Teaching method:
Interactive lecture, ef-fective questioning, formative assessment, problem solving, problem based activities
Media:
lecture notes, slides
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11Branching & renewal processes3 Teaching method:
Interactive lecture, ef-fective questioning, formative assessment, problem solving, problem based activities
Media:
lecture notes, slides
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12Markov renewal processes3 Teaching method:
Interactive lecture, ef-fective questioning, formative assessment, problem solving, problem based activities
Media:
lecture notes, slides
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12-13Birth and Death processes Branching process 6 0 12 Teaching method:
Interactive lecture,effective questioning,
formative assessment, problem solving, problem-based activities

Media:
lecture notes, slides, individual assignments
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13Problem solving section3 Teaching method:
Interactive lecture, ef-fective questioning, formative assessment, problem solving, problem based activities
Media:
lecture notes, slides
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14Brownian processes and second-order processes3 Teaching method:
Interactive lecture, ef-fective questioning, formative assessment, problem solving, problem based activities
Media:
lecture notes, slides
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14Renewal Process3 0 6 Teaching method:
Interactive lecture,effective questioning,
formative assessment, problem solving, problem-based activities

Media:
lecture notes, slides, individual assignments
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15Brownian Process Team presentation 1 3 0 6 Teaching method:
Interactive lecture,effective questioning,
formative assessment, problem solving, problem-based activities

Media:
lecture notes, slides, individual assignments
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15Applicable problem solving: either a/ Markov models in Actuarial Science, or b/ Poisson modeling in queuing systems3 Teaching method:
Interactive lecture, ef-fective questioning, formative assessment, problem solving, problem based activities
Media:
lecture notes, slides
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16Course Review-Team presentation II 3 Teaching method:
Interactive lecture, ef-fective questioning, formative assessment, problem solving, problem based activities
Media:
lecture notes, slides
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16Final review Team presentation 2 3 0 6 Teaching method:
Interactive lecture,effective questioning,
formative assessment, problem solving, problem-based activities

Media:
lecture notes, slides, individual assignments
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17Final examination
17Final examination
6. Textbook
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