CS代考 FIT3080 ARTIFICIAL INTELLIGENCE

FIT3080 ARTIFICIAL INTELLIGENCE
Unit Introduction

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Teaching team
• Chief Examiner 􏰀
• Lecturers
􏰀 Australia →
􏰀 Australia →
􏰀 Australia → (Guest, Weeks 8-9) 􏰀 Malaysia → Ming
􏰀 (Admin Tutor)
􏰀 William (Murry) Mount 􏰀

Course structure
• Lectures:
􏰀 Australia: Thursday 1-3pm (Melbourne time)
􏰀 Malaysia: Monday 12-2pm (Malaysia time) 􏰀 Hybrid delivery (in person, and online)
• Practical sessions:
􏰀 Two hours per week (in person, online options for offshore) 􏰀 Conducted by tutors
• Consultations:
􏰀 Each tutor will offer a weekly consultation for additional feedback
(zoom options available)
􏰀 Lecturer consultations by appointment

Course structure
• Lectures:
􏰀 Australia: Thursday 1-3pm (Melbourne time)
􏰀 Malaysia: Monday 12-2pm (Malaysia time) 􏰀 Hybrid delivery (in person, and online)
• Practical sessions:
􏰀 Two hours per week (in person, online options for offshore)
􏰀 Conducted by tutors
􏰀 No lab in week 1! Labs start from week 2
• Consultations:
􏰀 Each tutor will offer a weekly consultation for additional feedback
(zoom options available)
􏰀 Lecturer consultations by appointment

Assessment and Hurdles
• Assessment:
􏰀 2 Assignments (14% Week 6, 24% Week 11) 􏰀 1 Moodle quizzes (2% Week 9)
􏰀 Final exam, 3 hours (60% TBD)

Assessment and Hurdles
• Assessment:
􏰀 2 Assignments (14% Week 6, 24% Week 11) 􏰀 1 Moodle quizzes (2% Week 9)
􏰀 Final exam, 3 hours (60% TBD)
• Hurdles:
􏰀 Check the assignment and exam hurdles https://handbook.monash.edu/current/units/FIT3080

• Textbook:
􏰀 Russell, S. and Norvig, P. (2020), Artificial Intelligence:
A Modern Approach (4th ed),
􏰀 Links to additional background information
􏰀 EdStem, 2nd fastest!! way to get answers
• Consultation:
􏰀 Consultation sessions start in week 3

Academic Integrity and Special Consideration
Please carefully read all the contents in the followings links.
(The link are available in the Unit’s Moodle page.)

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