BIOMED 2510 - Biomedical Science IIA
North Terrace Campus - Semester 1 - 2023
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General Course Information
Course Details
Course Code BIOMED 2510 Course Biomedical Science IIA Coordinating Unit School of Biological Sciences Term Semester 1 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 6 hours per week Available for Study Abroad and Exchange N Prerequisites BIOLOGY 1001 or BIOLOGY 1101 or BIOLOGY 1401, & BIOLOGY 1201 Assumed Knowledge At least 6 units of Level I Chemistry Restrictions Available to BSc(BiomedSc) students only Assessment Written assignments, tutorial assessments Course Staff
Course Coordinator: Dr James Botten
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
The anticipated knowledge, skills and attitudes to be developed by the students are:
1. Demonstrate awareness of a wide variety of cutting edge biomedical and molecular biology research.
2. Understand standard molecular biology techniques and their application to investigating biomedical problems.
3. Critically evaluate scientific literature.
4. Understand and apply the principles of experimental design to address specific research hypotheses.
5. Analyse genomic sequence data using computational tools.
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Attribute 1: Deep discipline knowledge and intellectual breadth
Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.
1, 2, 3, 5 Attribute 2: Creative and critical thinking, and problem solving
Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.
4, 5 Attribute 4: Professionalism and leadership readiness
Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.
1, 5 Attribute 8: Self-awareness and emotional intelligence
Graduates are self-aware and reflective; they are flexible and resilient and have the capacity to accept and give constructive feedback; they act with integrity and take responsibility for their actions.
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Learning Resources
Required Resources
Students will be supplied with required & suggested readings, available from the Barr Smith Library or from online sources.
Access to MyUni and University email is absolutely required; communication with students will primarily be via these mechanisms, and students are encouraged to regularly (i.e. every 1-2 days) check these sources for any new information.
Online Learning
MyUni: Teaching materials and course documentation will be posted on the MyUni website ().
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Learning & Teaching Activities
Learning & Teaching Modes
The tutorials provide a mechanism for students to review and build on their understanding of the lecture material. Workshop sessions and related assessments will use examples from the lectures to develop skills in assessing the relative value of published work and the process by which biomedical experimentation is undertaken, along with an introduction to computational biology.
Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Students are expected to attend all planned teaching activities to maximise their chances of success. In addition students are expected to spend 2 hours per lecture and 1 hour per tutorial in revision and preparation respectively. Finally, students will need to spend a total of 45 hours in preparation for the various course assessments.
A student enrolled in a 3 unit course such as this should expect to spend on average 12 hours per week on the studies required. This includes both the formal contact time required to the course (e.g., lectures and practicals), as well as non-contact time (e.g., reading, preparing assessments etc).Learning Activities Summary
Please Note:
- Tutorials begin in week 2 and are held approximately fortnightly (with some variation to account for other course activities). Some teaching activities will be held in week 13.
- Lecture topics are subject to change based on staff availability.
- The workshops and continuing assessment tasks will build on the experimental design elements of the lecture content
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Assessment
The University's policy on Assessment for Coursework Programs 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
Assessment task Type of assessment Percentage of Semester total Hurdle (Yes/No) Outcomes being assessed Experimental design (Part A) Summative 15% No 1,2,4 Data Analysis Exercise Summative 25% No 3,5 Experimental design (Part B) Summative 35% No 2,3,4 Tutorial Assessments Formative/Summative 5 x 5% No 1,2,3 Assessment Related Requirements
Attendance at all teaching activities is required to obtain instruction for assessments.
Please note some assessements will be held during either workshops and/or tutorials, hence attendance at all of these activities is mandatory.
Non-attendance at these sessions without adequate reason (in association with appropriate documentation) will result in a zero mark for the relevant assessment.Assessment Detail
All assessment tasks will be supported by extensive guidelines and detailed assessment rubrics.
Specific criteria along with a template document will be provided to assist the students in completing each assessment task.
Experimental design assessments:
These assessments will build student understanding of the concepts of experimental design, and by incorporating examples and ideas derived from the lecture content, they will design a series of experiments that could feasibly answer a set of supplied hypotheses.
Data Analysis Exercise:
Students will be supplied with biological data (e.g. DNA sequences) which they will need to analyse in order to draw appropriate conclusions about the nature of the data. This exercise is computationally based and will require the use of various programs and online tools to complete the analysis.
Tutorial Assessments:
Students will prepare short answers to questions based on the lecture content and tutorial discussions.Submission
All work (except the tutorial tests) will be submitted online via the relevant assessment link on MyUni. Coversheets & Templates will be supplied as required. Any work submitted without the relevant coversheet will NOT be assessed. Tests papers will be collected at the end of each test period, with feedback provided in a following teaching session.
Late submission of assessments
If an extension is not applied for, or not granted then a penalty for late submission will apply. A penalty of 10% of the value of the assignment for each calendar day that the assignment is late (i.e. weekends count as 2 days), up to a maximum of 50% of the available marks will be applied. This means that an assignment that is 5 days late or more without an approved extension can only receive a maximum of 50% of the marks available for that assignment.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 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 .
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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.
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Student Support
- Academic Integrity for Students
- Academic Support with Maths
- Academic Support with writing and study skills
- Careers Services
- Library Services for Students
- LinkedIn Learning
- Student Life Counselling Support - Personal counselling for issues affecting study
- Students with a Disability - Alternative academic arrangements
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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangements Policy
- Academic Integrity Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs Policy
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment Policy
- Reasonable Adjustments to Learning, Teaching & Assessment for Students with a Disability Policy
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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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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