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Session: 2022/23
Last modified: 10/01/2023 10:50:40
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Title of Module: Python for Network Engineers |
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Code: COMP09110 |
SCQF Level: 9
(Scottish Credit and Qualifications Framework) |
Credit Points: 10 |
ECTS: 5
(European Credit Transfer Scheme) |
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| School: | School of Computing, Engineering and Physical Sciences |
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| Module Co-ordinator: | Gerry
Creechan |
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| Summary of Module |
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This module provides students with the necessary programming knowledge of Python programming fundamentals for networking. The core principles considered key in this module are those which underpin a practical ability to write code: data and data structures, structured code, subroutines, parameters, loops, input/output and files.
The emphasis is on the creation of programs to connect to, and configure, networked systems and devices.
This module will work to develop a number of the key 'I am UWS' Graduate Attributes to make those who complete this module:
Universal
- Critical Thinker
- Ethically-minded
- Research-minded
Work Ready
- Problem-Solver
- Effective Communicator
- Ambitious
Successful
- Autonomous
- Resilient
- Driven
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| Module Delivery Method |
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| Face-To-Face | Blended | Fully Online | HybridC | HybridO | Work-based Learning |
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Face-To-Face
Term used to describe the traditional classroom environment where the students and the lecturer meet synchronously in the same room for the whole provision.
Blended
A mode of delivery of a module or a programme that involves online and face-to-face delivery of learning, teaching and assessment activities, student support and feedback. A programme may be considered “blended” if it includes a combination of face-to-face, online and blended modules. If an online programme has any compulsory face-to-face and campus elements it must be described as blended with clearly articulated delivery information to manage student expectations
Fully Online
Instruction that is solely delivered by web-based or internet-based technologies. This term is used to describe the previously used terms distance learning and e learning.
HybridC
Online with mandatory face-to-face learning on Campus
HybridO
Online with optional face-to-face learning on Campus
Work-based Learning
Learning activities where the main location for the learning experience is in the workplace.
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| Term(s) for Module Delivery |
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(Provided viable student numbers permit).
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| Term 1 | | Term 2 | | Term 3 | |
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| Learning Outcomes: (maximum of 5 statements) |
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On successful completion of this module the student will be able to:
L1.
Demonstrate a critical understanding of Python programming for networking.
L2.
Critically reflect on alternative system programming techniques to provide solutions for automating network administration tasks.
L3.
Analyse a given scenario and apply suitable programming techniques to implement an appropriate solution. |
| Employability Skills and Personal Development Planning (PDP) Skills |
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| SCQF Headings |
During completion of this module, there will be an opportunity to achieve
core skills in:
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| Knowledge and Understanding (K and U) |
SCQF Level 9.
Knowledge and understanding of the scope and defining features of Python programming, and an integrated knowledge of its main areas and boundaries. A critical understanding of the principles, principal theories, concepts and terminology associated with programming. |
| Practice: Applied Knowledge and Understanding |
SCQF Level 9.
Use the principle skills, techniques and practices related to programming. |
| Generic Cognitive skills |
SCQF Level 9.
Undertake critical analysis, evaluation and/or synthesis of ideas, concepts, information and issues in programming. Identify and analyse routine professional problems and issues. Draw on a range of sources in making judgements. |
| Communication, ICT and Numeracy Skills |
SCQF Level 9.
Use a wide range of skills in support of established practices. Interpret, use and evaluate data. |
| Autonomy, Accountability and Working with others |
SCQF Level 9.
Exercise autonomy and initiative in activities. Manage complex ethical and professional issues in accordance with ethical codes or practices. |
| Pre-requisites: |
Before undertaking this module the student should have
undertaken the following:
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Module Code:
| Module Title:
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| Other: | |
| Co-requisites | Module Code:
| Module Title:
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* Indicates that module descriptor is not published.
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| Learning and Teaching |
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Learning Activities
During completion of this module, the learning activities undertaken to
achieve the module learning outcomes are stated below:
| Student Learning Hours
(Normally totalling 200 hours):
(Note: Learning hours include both contact hours and hours spent on other learning activities) |
| Lecture/Core Content Delivery | 12 |
| Laboratory/Practical Demonstration/Workshop | 12 |
| Independent Study | 76 |
| 100
Hours Total
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**Indicative Resources: (eg. Core text, journals, internet
access)
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The following materials form essential underpinning for the module content
and ultimately for the learning outcomes:
Goerzen, J, (2014) Foundations of Python Network Programming: The comprehensive guide to building network applications with Python. (3rd Edition) Apress. ISBN-10: 1430258543, ISBN-13: 978-1430258544
Faruque Sarker, M. O. (2014). Python Network Programming Cookbook. Packt Publishing.
ISBN-10: 1849513465, ISBN-13: 978-1849513463
Faruque Sarker, M. O. and Washington, S. (2015). Learning Python Network Programming. Packt Publishing. ISBN-10: 1784396001, ISBN-13: 978-1784396008
Ortega, J. M. (2018). Mastering Python for Networking and Security: Leverage Python scripts and libraries to overcome networking and security issues. Packt Publishing. ISBN-10: 1788992512, ISBN-13: 978-1788992510
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(**N.B. Although reading lists should include current publications,
students are advised (particularly for material marked with an asterisk*) to
wait until the start of session for confirmation of the most up-to-date
material)
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| Engagement Requirements |
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In line with the Academic Engagement Procedure, Students are defined as academically engaged if they are regularly engaged with timetabled teaching sessions, course-related learning resources including those in the Library and on the relevant learning platform, and complete assessments and submit these on time. Please refer to the Academic Engagement Procedure at the following link: Academic engagement procedure |
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Supplemental Information
| Programme Board | Computing |
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| Assessment Results (Pass/Fail) |
No
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| Subject Panel | Business & Applied Computing |
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| Moderator | Miriam Birch |
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| External Examiner | M Davis |
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| Accreditation Details | |
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| Version Number | 1.03 |
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| Assessment: (also refer to Assessment Outcomes Grids below) |
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| Programming Coursework (50%) and practical programming exercise(50%) |
(N.B. (i) Assessment Outcomes Grids for the module
(one for each component) can be found below which clearly demonstrate how the learning outcomes of the module
will be assessed.
(ii) An indicative schedule listing approximate times
within the academic calendar when assessment is likely to feature will be
provided within the Student Handbook.)
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Assessment Outcome Grids (Footnote A.)
Footnotes
A. Referred to within Assessment Section above
B. Identified in the Learning Outcome Section above
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Note(s):
- More than one assessment method can be used to assess individual learning outcomes.
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Schools are responsible for determining student contact hours. Please refer to University Policy on contact hours (extract contained within section 10 of the Module Descriptor guidance note).
This will normally be variable across Schools, dependent on Programmes &/or Professional requirements.
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| Equality and Diversity |
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UWS Equality and Diversity Policy |
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(N.B. Every effort
will be made by the University to accommodate any equality and diversity issues
brought to the attention of the School)
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