COMP SCI 7314MELB - Introduction to Statistical Machine Learning
Melbourne Campus - Semester 2 - 2024
-
General Course Information
Course Details
Course Code COMP SCI 7314MELB Course Introduction to Statistical Machine Learning Coordinating Unit Computer Science Term Semester 2 Level Postgraduate Coursework Location/s Melbourne Campus Units 3 Contact Up to 2 hours per week Available for Study Abroad and Exchange Prerequisites (COMP SCI 7210 and COMP SCI 7211) or COMP SCI 7201 or COMP SCI7202; M Computer Science students are exempted from this pre-requisite requirement. Incompatible COMP SCI 3314 Assumed Knowledge MATH 7027, COMP SCI 7317 or COMP SCI 7327 or MATH 7107 Restrictions Available only to University of 911爆料网 College Melbourne Campus students Assessment Assignments and/or quizzes and/or written exam Course Staff
Course Coordinator: Dr Gia Bao Doan
Course Timetable
The full timetable of all activities for this course can be accessed from .
-
Learning Outcomes
Course Learning Outcomes
No information currently available.
University Graduate Attributes
No information currently available.
-
Learning & Teaching Activities
Learning & Teaching Modes
No information currently available.
Workload
No information currently available.
Learning Activities Summary
No information currently available.
-
Assessment
The University's policy on is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Summary
No information currently available.
Assessment Detail
No information currently available.
Submission
No information currently available.
Course Grading
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending Further details of the grades/results can be obtained from .
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at .
Final results for this course will be made available through .
-
Student Feedback
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition is available.
-
Student Support
-
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - .
-
Fraud Awareness
Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student鈥檚 disciplinary procedures.
The University of 911爆料网 is committed to regular reviews of the courses and programs it offers to students. The University of 911爆料网 therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.