成人大片

COMP SCI 7211MELB - Foundations of Computer Science B

Melbourne Campus - Semester 1 - 2024

Introduces fundamental concepts of building data science applications in Python. Object oriented fundamentals x 001A methods, and classes. Algorithms and problem solving - problem solving processes and strategies. Computational complexity of algorithms. Software development tools and techniques - testing: black box, requirements. Representation and manipulation of large scale data sets.

  • General Course Information
    Course Details
    Course Code COMP SCI 7211MELB
    Course Foundations of Computer Science B
    Coordinating Unit Computer Science
    Term Semester 1
    Level Postgraduate Coursework
    Location/s Melbourne Campus
    Units 3
    Contact Up to 6 hours per week
    Available for Study Abroad and Exchange N
    Prerequisites COMP SCI 7210; Master of Computing and Innovation students are permitted to enrol into COMP SCI 7210 and COMP SCI 7211 concurrently
    Incompatible COMP SCI 7202, COMP SCI 7208, COMP SCI 7103
    Restrictions Available only to 成人大片 College Melbourne Campus students
    Assessment Assignments
    Course Staff

    Course Coordinator: Matthew Brennan

    Course Timetable

    The full timetable of all activities for this course can be accessed from .

  • Learning Outcomes
    Course Learning Outcomes
    Upon completion of this course/subject, students will be able to:

    Apply good programming style and understand the impact of style on developing and maintaining programs.
    Effectively use a version control system and the Linux command-line tools for incremental development.
    Implement, test and debug solutions in Python.
    Identify the relative merits of different algorithmic designs.
    Analyse algorithms and identify key algorithmic strategies.
    Explain fundamental computing algorithms.
    University Graduate Attributes

    No information currently available.

  • Learning Resources
    Recommended Resources
    Zhang, Y., (2015), An Introduction to Python and Computer Programming (Links to an external site.)(Links to an external site.),,(1st ed. Lecture Notes in Engineering 353), Springer, London.

    Lee, K., & Mackie, I., (2014), Python Programming Fundamentals (Links to an external site.) (Links to an external site.),(2nd ed. Undergraduate Topics in Computer Science), Springer, London.

    Baka, B. (2017). Python Data Structures and Algorithms. Packt Publishing Ltd.

    Lee, K. D., Lee, K. D., & Steve Hubbard, S. H. (2015). Data Structures and Algorithms with Python. Springer.

    Textbooks are available to students as e-books through the Library.
    Online Learning
    All materials are available from MyUni and it is possible to work through most of the course activities on-site.
  • 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 Assessment for Coursework Programs is based on the following four principles:

    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
    4. 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:

    GS8 (Coursework Grade Scheme)
    Grade Description
    CN Continuing
    FNS Fail No Submission
    NFE No Formal Examination
    F Fail
    NGP Non Graded Pass
    P Pass
    C Credit
    D Distinction
    HD High Distinction
    RP Result Pending

    Further details of the grades/results can be obtained from Examinations.

    Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

    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 aggregated course SELT data is available.

  • Student Support
  • Policies & 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.

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