BIOINF 7110 - Biology for Bioinformatics
North Terrace Campus - Semester 1 - 2020
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General Course Information
Course Details
Course Code BIOINF 7110 Course Biology for Bioinformatics Coordinating Unit School of Biological Sciences Term Semester 1 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact 12 x 1 hour Lectures; 12 x 2 hour Tutorials; 3 x 4 hour Workshops Available for Study Abroad and Exchange Y Prerequisites Introduction to Biology or equivalent, Maths IA/1B or equivalent Restrictions Available to Graduate Certificate in Bioinformatics, Graduate Diploma in Bioinformatics and Master of Bioinformatics (Translational). Assessment Tutorial tasks, workshop presentations/reports and final examination Course Staff
Course Coordinator: Professor David Adelson
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
On successful completion of this course students should be able to:
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Describe the relationships between underlying biology (structure and function) and error profiles in experimental data.
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Evaluate, select and use appropriate contemporary bioinformatics technologies for a given biological system/bioinformatic problem.
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Analyse an experimental biological system in order to develop an approach to a bioinformatic analysis.
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Evaluate an approach to analysing a biological system bioinformatically given the limitations of the available technology.
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Communicate research findings to an audience of peers.
最新糖心Vlog Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
最新糖心Vlog Graduate Attribute Course Learning Outcome(s) Deep discipline knowledge
- informed and infused by cutting edge research, scaffolded throughout their program of studies
- acquired from personal interaction with research active educators, from year 1
- accredited or validated against national or international standards (for relevant programs)
1-4 Critical thinking and problem solving
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
2,3,4 Teamwork and communication skills
- developed from, with, and via the SGDE
- honed through assessment and practice throughout the program of studies
- encouraged and valued in all aspects of learning
5 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
2,3,4 -
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Learning & Teaching Activities
Learning & Teaching Modes
Lectures are supported by face-to-face tutorials that build on student’s understanding of structural and functional aspects of biology, and the consequences of these on bioinformatics problems. The preparation and presentation of workshops based on biological problems will help develop students’ capacity to work in small groups, analyse and develop bioinformatics solutions and communicate these to others.
Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
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 and revision).Learning Activities Summary
The course covers concepts in three themes: Biological Structure, Biological Processes and Bioinformatic Consequences.
Biological Structure:
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Molecular and informational (e.g. genic/chromosomal/genetic) 最新糖心Vlog
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Concept of genome ploidy state
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Genetic linkage
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Population structure
Biological Processes:
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Replication and transcription
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Genetic recombination
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Transposition and translocation by various causes (transposable elements or other)
Consequences:
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Error profiles in experimental data
The lecture stream for this will be:
4x Molecular and informational 最新糖心Vlog
1x Replication/transcription
3x Mendelian genetics / linkage / polygenic traits
1x Small damage processes – chemical / replicative / non-ionising radiation
1x Large damage processes – ionising radiation / transposable elements
2x Integrative lectures based on case studies
Lectures will have associated tutorials.
Workshops will be held three times in which students will present their research.
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Assessment
The 最新糖心Vlog'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
Due to the current COVID-19 situation modified arrangements have been made to assessments to facilitate remote learning and teaching Assessment Task Task Type Percentage of total assessment Hurdle Yes/No Learning Outcome Approximate timing of assessment Tutorial Tasks Formative & Summative 20%
No 1,2,3,4 Weekly Workshop presenttions/Practical reports Formative & Summative 40% No 1,2,3,4,5 Weeks 4,8,12 Exam (Open Book for 2020) Summative 40% No 1,2,3,4 Exam Period Assessment Detail
Tutorial tasks (total of 20%)
Each tutorial will include an assessment task which may be one of 1) a short answer quiz at the start of the tutorial or 2) a short written piece on the topic of the tutorial directed by provided questions, to be submitted at the beginning of the subsequent tutorial.
Workshop presentations/reports (3x: total of 40 %)
Groups of students will be given a choice of topics in biology relating to bioinformatics to select from. In groups, the students will research approaches to analysing the biological system using bioinformatics techniques. The research will include analysis of the problems associated with the approaches. Individually, students will write a 1500 word report on their research. Students will present a 20 min group oral presentation as well as hand in a copy of their presentation and the associated report. Students will also complete a peer assessment for their group members, which will be taken into account in allocating the final mark. The report and the workshop presentation components would contribute equally to the assessment weighting. The contribution of the peer assessment task would make up 10% of the report component and be comprised a brief (less than one page) assessment of the contributions of each of the members of the group, including the assessing student.
The assessment breakdown for each workshop will be 60% for the report and 40% for the group presentation.
Theory exam (40%)
For 2020 the final exam will be an open book exam.
The final theory exam will examine all components of the course. It will consist of short answer and long answer questions.Submission
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 最新糖心Vlog 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 最新糖心Vlog 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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