uploading my courses

courses/MSc_Advanced_Computer_Science.txt

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+### MSc Advanced Computer Science (Sep 25, 2025 – Sep 24, 2026)
+University of Hertfordshire
+
+This MSc programme is ideal for graduates who want to deepen their understanding of cutting-edge computer science topics and prepare for senior technical roles or research careers. It combines software design, intelligent systems, and data technologies with advanced project work.
+
+### Course Duration and Study Options
+You can enrol in this course as:
+- Full-time: 1 year (Sep 25, 2025 – Sep 24, 2026)
+- Part-time: 18 months
+- With Placement Year: 2 years
+
+### Entry Requirements and Prerequisites
+Applicants should have:
+- A good honours degree (2:2 or above) in Computer Science or a similar subject
+- IELTS 6.0 minimum for international applicants
+- Experience with software development and algorithms is beneficial
+
+### Tuition Fees and Funding
+- UK: ~£9,500–£12,360
+- International: ~£16,450–£17,950
+Scholarships available for qualifying students. No additional fees for placement year.
+
+### Modules and Course Structure
+This course includes the following advanced modules:
+- Advanced Software Engineering
+- Intelligent Systems and Robotics
+- Programming Concepts and Practice
+- Research Methods
+- MSc Project (60 credits)
+
+Placement or research-focused options are available.
+
+### Teaching Style and Assessment
+You’ll experience a mix of lectures, coding labs, research seminars, and self-study. Assessment includes coursework, group projects, presentations, and a dissertation.
+
+### Facilities and Support
+Study in the Spectra building with access to high-performance computing labs and collaborative study spaces. Support includes academic mentoring and 24/7 Learning Resource Centre access.
+
+### Career Prospects
+Graduates often become:
+- Software Architects
+- Systems Analysts
+- AI Developers
+- Research Associates
+
+### Accreditation and Research Path
+BCS accredited. Research-active staff supervise student dissertations and PhD pathways.
+
+### Tools and Technologies
+Java, Python, AI libraries, Linux, cloud platforms
+
+### Learning Outcomes
+- Evaluate emerging trends in advanced computing
+- Develop large-scale intelligent systems
+- Lead technical projects with academic rigour
+
+### Why Choose This Course?
+It provides an ideal foundation for PhD study or progression into senior software development roles.
+
+### Official Links
+- Official Course Page: https://www.herts.ac.uk/courses/msc-advanced-computer-science
+- Click here to apply: https://www.herts.ac.uk/study/postgraduate/how-to-apply

courses/MSc_Artificial_Intelligence_and_Robotics.txt

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+### MSc Artificial Intelligence and Robotics (Sep 25, 2025 – Sep 24, 2026)
+University of Hertfordshire
+
+This MSc programme combines the principles of artificial intelligence with the engineering of robotic systems. It prepares students for careers in intelligent system design, autonomous robotics, and machine learning engineering. Delivered by the School of Physics, Engineering and Computer Science, it offers a balance between theory, hands-on lab work, and industry-focused applications.
+
+### Course Duration and Study Options
+You can study this programme in one of the following formats:
+- Full-time: 1 year (Sep 25, 2025 – Sep 24, 2026)
+- Part-time: 18 months
+- With Placement Year: 2 years (Sep 2025 – Sep 2027)
+
+There are three available award routes:
+1. MSc Artificial Intelligence and Robotics
+2. MSc with Placement Year
+3. MSc with Advanced Research
+
+### Entry Requirements and Prerequisites
+To be accepted into the MSc Artificial Intelligence and Robotics, applicants typically need:
+- A good honours degree (2:2 or above) in Computer Science, Engineering, or a closely related discipline.
+- For international students, an IELTS score of at least 6.0 overall.
+- Experience with programming, particularly in Python or C++, and basic knowledge of algorithms or control systems is advantageous.
+
+### Tuition Fees and Available Funding
+For the academic year 2025–2026:
+- UK students: approximately £8,925 to £12,360
+- International students: approximately £16,450 to £17,950
+
+Scholarships such as the Chancellor’s International Scholarship and regional scholarships may be available. The placement year does not incur additional tuition fees.
+
+### Modules and Course Structure
+The course includes the following core modules, designed to build both theoretical knowledge and practical skills:
+- Artificial Life with Robotics
+- Neural Networks and Machine Learning
+- Theory and Practice of Artificial Intelligence
+- Responsible Technology
+- MSc Project in AI and Robotics
+
+Students on the placement track also complete:
+- Placement Preparation
+- Professional Work Placement
+
+### Teaching Style and Assessment Methods
+The programme is delivered via lectures, seminars, and practical labs. Students will work with real robotic platforms, simulation environments, and AI frameworks. Assessments include project work, reports, presentations, and a substantial research project.
+
+### Learning Facilities and Student Support
+Teaching takes place in the state-of-the-art Spectra building. Facilities include:
+- Robotics labs with humanoid and wheeled robots
+- AI development suites
+- Vision and sensor systems labs
+
+Support services include the Academic Support Hub, career mentoring, and 24/7 access to Learning Resource Centres.
+
+### Placement and Career Opportunities
+Students can take part in a one-year paid industrial placement after completing the first 60 credits. Graduates from this programme typically pursue careers such as:
+- Robotics Software Engineer
+- AI/ML Engineer
+- Autonomous Systems Designer
+- Research Scientist in AI and Robotics
+
+### Professional Accreditation
+This course is accredited by BCS, The Chartered Institute for IT, supporting your path toward becoming a Chartered IT Professional (CITP).
+
+### Research Opportunities
+Students choosing the Advanced Research route can engage in supervised research in topics like reinforcement learning, robotic vision, swarm robotics, or explainable AI. This pathway is ideal for students intending to pursue a PhD or academic career.
+
+### Tools and Technologies Used
+Throughout the course, students will work with:
+- Python, C++, ROS (Robot Operating System)
+- TensorFlow, PyTorch
+- MATLAB, OpenCV
+- Real robotic platforms (NAO, Turtlebot, etc.)
+
+### Learning Outcomes
+By the end of the course, students will be able to:
+- Design and implement intelligent robotic systems
+- Apply machine learning and AI techniques to real-world problems
+- Evaluate and communicate the ethical and societal implications of AI
+
+### Testimonials and Success Stories
+“After this MSc, I joined a robotics startup developing warehouse automation using AI.”
+“The placement option helped me secure a role as a Machine Vision Engineer.”
+
+### Why Choose This Course?
+This programme offers a unique blend of AI and robotics, delivered by expert faculty and backed by leading-edge research. With flexible award options, industrial placement, and modern labs, students gain practical, job-ready experience.
+
+### Official Links
+To learn more about this programme, visit:
+- Official Course Page: https://www.herts.ac.uk/courses/postgraduate-masters/msc-artificial-intelligence-and-robotics
+
+To apply for the MSc Artificial Intelligence and Robotics, use the university’s official application portal:
+- Click here to apply: https://www.herts.ac.uk/study/postgraduate/how-to-apply

courses/MSc_Computer_Science.txt

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+### MSc Computer Science (Sep 25, 2025 – Sep 24, 2026)
+University of Hertfordshire
+
+This conversion MSc is ideal for students without a formal background in computer science. It provides a broad foundation in software, databases, networks, and web technologies.
+
+### Duration & Formats
+- Full-time: 1 year
+- With Placement Year: 2 years
+
+### Requirements
+- Any undergraduate degree (2:2+)
+- IELTS 6.0
+- No prior computing background required
+
+### Fees
+- UK: ~£8,925+
+- International: ~£16,450
+
+### Modules
+- Programming Fundamentals
+- Software Engineering
+- Computer Networks
+- Database Design
+- MSc Project
+
+### Outcomes
+- IT Consultant
+- Software Tester
+- Full Stack Developer
+- Graduate Programmer
+
+### Why Choose This Course?
+Ideal for career changers, offers practical projects and full academic support.
+
+### Official Links
+- Course Page: https://www.herts.ac.uk/courses/msc-computer-science
+- Apply: https://www.herts.ac.uk/study/postgraduate/how-to-apply

courses/MSc_Cyber_Security.txt

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+### MSc Cyber Security (Sep 25, 2025 – Sep 24, 2026)
+University of Hertfordshire
+
+This MSc is designed for students interested in protecting systems, data, and networks in an increasingly digital and connected world. It combines theoretical depth with practical experience in areas such as ethical hacking, digital forensics, secure software, and risk management.
+
+### Course Duration and Study Options
+This programme is available in three formats:
+- Full-time: 1 year (Sep 25, 2025 – Sep 24, 2026)
+- 15-month extended mode (with extra research prep)
+- With Placement Year: 2 years (Sep 2025 – Sep 2027)
+
+Award routes:
+1. MSc Cyber Security
+2. MSc Cyber Security with Placement
+3. MSc Cyber Security with Advanced Research
+
+### Entry Requirements and Prerequisites
+Applicants will typically need:
+- A 2:2 or above in Computer Science, IT, Engineering, or related subjects
+- An IELTS score of at least 6.0 (for international applicants)
+- Some experience with networking, operating systems, or basic scripting is recommended
+
+### Tuition Fees and Scholarships
+Estimated fees for 2025–2026:
+- UK/Home: ~£12,360
+- International: ~£16,950 to £17,950
+Scholarships are available for qualifying international students. No additional tuition for the placement year.
+
+### Modules and Course Structure
+The MSc includes a mix of theoretical and applied modules:
+- Distributed Systems Security
+- Digital Forensics
+- Penetration Testing
+- Information Security and Compliance
+- Cyber Operations
+- Team Research and Development Project
+- Responsible Technology
+- MSc Cyber Security Project
+
+Placement and Advanced Research routes include:
+- Placement Preparation and Professional Work Placement
+- Extended Research Project
+
+### Teaching and Assessment
+Teaching combines lectures, technical workshops, and lab-based training using industry tools. Assessment includes coursework, practical evaluations, and a major project.
+
+### Facilities and Student Support
+You’ll train in dedicated cyber security and digital forensics labs with access to:
+- Packet analyzers
+- Forensics toolkits
+- Secure coding environments
+Support includes career mentoring, technical drop-ins, and 24/7 access to Learning Resource Centres.
+
+### Placement and Career Opportunities
+Students can apply for a 12-month industry placement after the first 60 credits. Graduates go on to work in:
+- Cyber Security Analysis
+- Security Operations Centre (SOC) roles
+- Penetration Testing
+- Risk and Compliance
+- Forensics Investigation
+
+### Professional Accreditation
+This MSc is accredited by BCS and aligns with UK NCSC cybersecurity educational objectives. The programme also maps to CISSP/CEH domains.
+
+### Research Opportunities
+Students on the Advanced Research route can investigate topics in malware analysis, zero-day exploit mitigation, or blockchain security. Ideal for those pursuing PhD or specialist R&D roles.
+
+### Tools and Technologies Used
+- Python, Wireshark, Kali Linux
+- SQL, Metasploit, FTK, Splunk
+- Virtual Labs and Real-World Scenarios
+
+### Learning Outcomes
+Graduates of this course will be able to:
+- Identify and mitigate security vulnerabilities in networks and systems
+- Conduct forensic investigations and generate legally admissible evidence
+- Evaluate compliance frameworks and implement cybersecurity policies
+
+### Testimonials and Success Stories
+“I secured a job at a cybersecurity consultancy within 2 months of graduating.”
+“My placement at a telecoms company gave me hands-on SOC experience.”
+
+### Why Choose This Course?
+This programme balances practical experience and theory, offers placement and research pathways, and benefits from excellent industry links and modern labs.
+
+### Official Links
+To read more, visit the official programme page:
+- Official Course Page: https://www.herts.ac.uk/courses/postgraduate-masters/msc-cyber-security
+
+To start your application, visit:
+- Click here to apply: https://www.herts.ac.uk/study/postgraduate/how-to-apply

courses/MSc_Data_Science_and_Analytics (1).txt

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+
+### MSc Data Science and Analytics (Sep 25, 2025 – Sep 24, 2026)
+University of Hertfordshire
+
+This is a full-time postgraduate programme designed to equip students with cutting-edge knowledge in data science, artificial intelligence, and analytical methods. It is delivered by the School of Physics, Engineering and Computer Science at the University of Hertfordshire.
+
+### Course Duration and Study Options
+The MSc Data Science and Analytics programme is available in the following formats:
+- Full-time: 1 year (from Sep 25, 2025 to Sep 24, 2026)
+- Part-time: 18 months (starting in September 2025)
+- With optional placement year: 2 years (from Sep 2025 to Sep 2027)
+You can choose from three award routes depending on your goals:
+1. MSc Data Science and Analytics
+2. MSc Data Science and Analytics with Placement Year
+3. MSc Data Science and Analytics with Advanced Research
+
+### Entry Requirements and Prerequisites
+To be accepted into the MSc Data Science and Analytics programme, you must meet the following criteria:
+- Hold a good honours degree (2:2 or above) in Computer Science or a closely related field.
+- Applicants from non-STEM backgrounds (also called Far-STEM) may be required to complete a preparatory bootcamp or demonstrate a relevant portfolio.
+- English language proficiency: IELTS score of at least 6.0 overall (some cases require 6.5 or higher).
+- It is also important that applicants have prior experience or familiarity with:
+  - Programming in Python or R
+  - Basic knowledge of SQL
+  - Exposure to MATLAB or other data analysis tools
+
+### Tuition Fees and Available Funding
+The tuition fees for the 2025–2026 academic year are as follows:
+- UK/Home students: approximately £8,925 to £12,360
+- International students: approximately £16,450 to £17,950
+Please note that there are no additional tuition fees for the optional placement year. Scholarships may also be available, such as the Chancellor’s International Scholarship and region-based funding opportunities.
+
+### Modules and Course Structure
+The course includes the following modules, amounting to 180 credits in total:
+- Foundations of Data Science – 30 credits
+- Neural Networks & Machine Learning – 30 credits
+- Data Mining – 15 credits
+- Applied Data Science & Analytics – 15 credits
+- Responsible Technology – 15 credits
+- MSc Project – 60 credits
+Students who choose the placement route will also complete modules in Placement Preparation and Supervised Placement.
+
+### Teaching Style and Assessment Methods
+This course is delivered through a combination of lectures, seminars, and practical lab sessions using industry-standard tools. There is a strong emphasis on independent study, supported by 24/7 access to computer labs and digital learning environments like Studynet. Assessment methods include coursework, formal examinations, and a major final project.
+
+### Learning Facilities and Student Support
+Students enrolled in this programme will have access to state-of-the-art facilities in the newly developed Spectra building. These include labs focused on robotics, AI, data analytics, networking, and specialised dark rooms. You will also benefit from academic support hubs, personalised career mentoring, and access to Learning Resource Centres (LRCs) with round-the-clock availability.
+
+### Work Placement and Career Opportunities
+If you choose the placement route, you will have the option to complete a one-year paid industry placement after passing your first 60 credits. Graduates from this programme have gone on to secure roles such as:
+- Data Scientist
+- Data Engineer
+- Analytics Consultant
+- Machine Learning Engineer
+- Digital Marketing Manager
+
+### Professional Accreditation
+This programme is accredited by BCS, The Chartered Institute for IT. This accreditation helps graduates meet academic requirements toward becoming a Chartered IT Professional (CITP). The university’s Computer Science research has also been rated 90% world-leading in the UK’s REF 2021 assessment.
+
+### Research Opportunities
+Students enrolled in this programme have opportunities to work on cutting-edge research topics in areas like machine learning, data ethics, big data, and AI. The Advanced Research route allows students to engage in extended research suitable for publication or PhD-level preparation.
+
+### Tools and Technologies Covered
+Throughout the course, students will use a variety of modern tools and frameworks, including:
+- Python (NumPy, pandas, scikit-learn)
+- R
+- MATLAB
+- SQL
+- TensorFlow and PyTorch
+
+### Learning Outcomes
+Upon successful completion of the MSc Data Science and Analytics programme, students will be able to:
+- Evaluate complex data sets using statistical and machine learning techniques.
+- Design data processing pipelines for real-world analytics challenges.
+- Communicate technical findings to non-technical stakeholders.
+
+### Student Testimonials
+“After completing this MSc, I joined Deloitte as a Data Analyst working on AI audit tools.”
+“Placement at Sky gave real‑world hands‑on experience in large‑scale data engineering.”
+
+### Why Choose This Course?
+This programme stands out because of its strong practical focus, use of modern data science tools, and multidisciplinary teaching delivered by top-tier researchers. The option to choose between a research-focused or industry-focused route provides flexibility based on your long-term career goals.
+
+### Official Links
+To view more detailed and up-to-date information about this programme, visit the official course page:
+- Official Course Page: https://www.herts.ac.uk/courses/postgraduate-masters/msc-data-science-and-analytics
+
+If you are ready to begin your application, you can do so here:
+- Click here to apply: https://www.herts.ac.uk/study/postgraduate/how-to-apply

courses/MSc_Machine_Learning_and_Big_Data.txt

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+### MSc Machine Learning and Big Data (Sep 25, 2025 – Sep 24, 2026)
+University of Hertfordshire
+
+This MSc programme focuses on practical and theoretical aspects of machine learning and big data analytics. It trains students to build scalable systems and models to gain insights from complex data.
+
+### Study Duration and Routes
+- Full-time: 1 year
+- Part-time: 18 months
+- With Placement Year: 2 years
+
+### Entry Requirements
+- 2:2 honours degree in Computer Science, Engineering, Mathematics, or related field
+- IELTS 6.0
+- Strong programming skills and familiarity with statistics
+
+### Fees and Funding
+- UK: ~£9,500+
+- International: ~£16,950
+Scholarships are available.
+
+### Modules
+- Big Data Analytics
+- Machine Learning and Deep Learning
+- Cloud Computing
+- Research Methods
+- Final Dissertation or Project
+
+### Teaching and Assessment
+Lectures, coding tutorials, and project-based learning. Assessed by coursework and applied research.
+
+### Tools and Technologies
+Python (Pandas, Scikit-learn), Hadoop, Spark, TensorFlow, SQL
+
+### Facilities
+Access to cloud computing environments, big data clusters, and AI labs.
+
+### Career Outcomes
+- Data Scientist
+- Machine Learning Engineer
+- Big Data Engineer
+- AI Analyst
+
+### Learning Outcomes
+- Design and deploy ML models
+- Apply big data techniques to business and research
+- Manage scalable analytics systems
+
+### Why Choose This Course?
+Industry-relevant curriculum with placement options and exposure to real-world datasets.
+
+### Official Links
+- Course Page: https://www.herts.ac.uk/courses/msc-machine-learning-and-big-data
+- Click here to apply: https://www.herts.ac.uk/study/postgraduate/how-to-apply

courses/MSc_Software_Engineering.txt

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+### MSc Software Engineering (Sep 25, 2025 – Sep 24, 2026)
+University of Hertfordshire
+
+This course prepares students to design, develop, and manage large-scale software systems. It combines technical, analytical, and management skills ideal for software careers.
+
+### Study Options
+- Full-time: 1 year
+- With Placement Year: 2 years
+
+### Entry Requirements
+- 2:2 honours in Computer Science or related subject
+- IELTS 6.0 minimum
+
+### Tuition Fees
+- UK: ~£9,000+
+- International: ~£16,950
+
+### Modules
+- Software Engineering Practice and Tools
+- Advanced Programming
+- Software Project Management
+- Systems Modelling
+- MSc Software Engineering Project
+
+### Teaching and Tools
+Includes software workshops, design studios, and Agile practices. Tools include Git, Docker, UML tools, Python, and Java.
+
+### Career Roles
+- Software Developer
+- Systems Engineer
+- DevOps Engineer
+- Technical Project Manager
+
+### Learning Outcomes
+- Build and manage software products
+- Apply secure and ethical design
+- Lead software teams using modern methodologies
+
+### Why Choose This Course?
+Industry-focused, hands-on, and aligned with software development careers.
+
+### Official Links
+- Course Page: https://www.herts.ac.uk/courses/msc-software-engineering
+- Apply here: https://www.herts.ac.uk/study/postgraduate/how-to-apply

courses/MSc_Software_Engineering_Online.txt

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+### MSc Software Engineering (Online) (Sep 25, 2025 – Sep 24, 2026)
+University of Hertfordshire
+
+This flexible online MSc allows students to earn a postgraduate qualification in software engineering from anywhere. Ideal for working professionals and global learners.
+
+### Delivery Mode
+- 100% online
+- Part-time (up to 2.5 years)
+
+### Entry Criteria
+- 2:2 honours degree
+- English language requirement applies
+
+### Tuition
+- Typically £9,750 – £11,500 (subject to confirmation)
+
+### Modules
+- Software Design and Modelling
+- Web and Cloud Systems
+- Agile Development
+- Software Testing
+- Dissertation
+
+### Tools and Platforms
+Online IDEs, Git, Agile tools, cloud platforms
+
+### Outcomes
+- Remote Software Engineer
+- Cloud Developer
+- Technical Consultant
+
+### Why Choose This Course?
+Fully online, flexible schedule, ideal for international students or professionals.
+
+### Official Links
+- Course Page: https://online.herts.ac.uk/msc-software-engineering
+- Apply: https://www.herts.ac.uk/study/postgraduate/how-to-apply

courses/UH_General_Postgraduate_Info.txt

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+### University of Hertfordshire – General Postgraduate Information (2025–2026)
+
+This resource provides essential information for all postgraduate students, including international applicants, and covers key areas like visas, accommodation, term dates, working rules, application guidance, and FAQs.
+
+### International Student Support
+The University’s **International Student Team** supports incoming students with:
+- Pre-arrival onboarding and welcome events  
+- Help with opening UK bank accounts and receiving CAS letters  
+- Peer networking via international buddy schemes  
+- Dedicated advice on immigration rules and cultural adjustment  
+For full support details, visit: https://www.herts.ac.uk/international/new-international-students
+
+### Visa and Immigration (Tier 4 & Graduate Route)
+If you need a student visa, here's what to know:
+- Global students must obtain a **Tier 4 (General) Student Visa** before travelling  
+- A **Confirmation of Acceptance for Studies (CAS)** is issued after receiving an unconditional offer  
+- You may work up to **20 hours/week during term time**, full-time during vacations  
+- Upon graduation, you may be eligible for a **2-year Post-Study Work visa** via the Graduate Route  
+Learn more: https://www.herts.ac.uk/international/visa-information
+
+### Accommodation Options
+There are three main options:
+1. **On-Campus Halls** (e.g., de Havilland, The Courtyard) — includes utilities, broadband, some catered, close to lectures  
+2. **Private Student Housing** — near the Stanborough and Queensway areas — generally self-catered and slightly cheaper  
+3. **Homestay or Private Renting** — for students seeking UK cultural immersion or full independence  
+More details: https://www.herts.ac.uk/life/accommodation
+
+### Working While Studying
+All postgraduate visa holders can:
+- Work **up to 20 hours per week** during term time  
+- Work **full-time during scheduled vacation periods**  
+- Undertake **placements or internships** if part of the course (check your programme regulations for eligibility)  
+UKVI guidelines: https://www.gov.uk/student-visa
+
+### Term Dates (2025–2026)
+- **Autumn Term**: late September to mid-December 2025  
+- **Spring Term**: mid-January to late March 2026  
+- **Summer Term**: late April to mid-June 2026  
+Official academic calendar: https://www.herts.ac.uk/about-us/term-dates
+
+### Application Guidance
+To apply for any postgraduate programme:
+1. Visit the official UH postgraduate application portal  
+2. Prepare all required documents: degree transcript, personal statement, CV, references, English proof (if applicable)  
+3. Upload your documents and choose your programme  
+4. After submission, track your application and await your CAS if accepted  
+Apply online: https://www.herts.ac.uk/study/postgraduate/how-to-apply
+
+### Common FAQs
+**Q: What is the deadline to apply?**  
+A: Applications are open year-round, but it’s best to apply by:
+- **1 September 2025** for September entry  
+- **31 December 2025** for January 2026 (late applications reviewed if space allows)
+
+**Q: Can I start in January?**  
+A: Yes — many programmes accept mid-year entry, though not all modules are guaranteed.
+
+**Q: What support is available for academic English?**  
+A: The Academic Support Hub offers writing workshops, academic tutoring, and English-language sessions via the LRC.  
+Details: https://www.herts.ac.uk/current-students/study-support/academic-skills
+
+**Q: How can I get help with mental health or wellbeing?**  
+A: The Student Wellbeing team is available for counselling, mental health support, workshops, and 24/7 crisis support.  
+Support page: https://www.herts.ac.uk/life/student-wellbeing
+
+**Q: Are scholarships available?**  
+A: UH offers several funding schemes (SSC International Scholarships, Chancellor’s, UK–Partner Organisation awards)  
+Scholarship info: https://www.herts.ac.uk/study/fees-and-funding/scholarships
+
+**Q: What technology support is available?**  
+A: All postgraduate students receive free access to Microsoft Office 365, campus Wi-Fi, and 24/7 IT help  
+IT Support: https://www.herts.ac.uk/current-students/library-and-computing/computing-services