“Mr. Glory is a well-connected professional that always takes the time to support anyone in his network. He has a very impressive background and profile and I recommend Mr. Glory as a Technology expert to connect with and consider for anything appropriate.”
Ebube Glory Ogbonda
Liverpool, England, United Kingdom
855 followers
500 connections
About
I am a data scientist and a full-stack developer with a passion for creating data-driven…
Contributions
Activity
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Day 2 of the AIMLAC CDT conference at Swansea University involved a panel discussion which I was invited to sit on to discuss career development…
Day 2 of the AIMLAC CDT conference at Swansea University involved a panel discussion which I was invited to sit on to discuss career development…
Liked by Ebube Glory Ogbonda
Experience
Education
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University of Bristol
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Mode of Attendance: Part Time - Variable
Supervisor : Henning Flaecher
Bristol Student ID: 2542058
Email: [email protected] -
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Activities and Societies: Course Rep Trainer | Peer Guide | International Student Mentor
This project will ideate, design and programme computing solutions to apply visualisation techniques to legal advice services underpinned by AI (Artificial Intelligence). Artificial Intelligence (AI) techniques have the potential to help capture, organise, and analyse this material automatically. Artificial intelligence (AI) can help reduce the workload required by the humans in the loop behind the scenes. Data visualisation has the potential to elicit salient information to the public. For…
This project will ideate, design and programme computing solutions to apply visualisation techniques to legal advice services underpinned by AI (Artificial Intelligence). Artificial Intelligence (AI) techniques have the potential to help capture, organise, and analyse this material automatically. Artificial intelligence (AI) can help reduce the workload required by the humans in the loop behind the scenes. Data visualisation has the potential to elicit salient information to the public. For example, current legal visualisation research has tended to focus on litigation and private and commercial issues, whereas visualising public law (the law that governs relationships between individuals and public bodies) and the nature of law as pathways and visualising the reasoning or decision-making processes inherent to law, and the stories of those subject to law, remain under-explored aspects of legal design.
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Mode of Attendance: Part Time - Variable
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AIMLAC CDT Visiting Student
Proposed Supervisor: ROSEMARY GRANGER
Cardiff Student ID: C24016531
Email: [email protected] -
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Activities and Societies: Course Rep
The Advanced Computer Science course builds on the foundations of a CS undergraduate programme, exploring more advanced topics such as high-performance computing and augmented/mixed/virtual reality. Students delve into the inner workings of these technologies and learn to exploit them for next-generation applications. This is all supported by our continuing commitment to professionalism and ethics, allowing the next generation to make the most appropriate choices when deploying technology to…
The Advanced Computer Science course builds on the foundations of a CS undergraduate programme, exploring more advanced topics such as high-performance computing and augmented/mixed/virtual reality. Students delve into the inner workings of these technologies and learn to exploit them for next-generation applications. This is all supported by our continuing commitment to professionalism and ethics, allowing the next generation to make the most appropriate choices when deploying technology to the world’s problems.
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The Bachelor of Science in Information Technology and Business Information Systems program is a unique combination of two exciting and rapidly-growing fields, providing students with the skills and knowledge they need to succeed in today's rapidly-changing digital landscape. This program combines the technical aspects of information technology with the business knowledge and skills required to manage technology projects, develop and implement information systems, and provide effective IT…
The Bachelor of Science in Information Technology and Business Information Systems program is a unique combination of two exciting and rapidly-growing fields, providing students with the skills and knowledge they need to succeed in today's rapidly-changing digital landscape. This program combines the technical aspects of information technology with the business knowledge and skills required to manage technology projects, develop and implement information systems, and provide effective IT solutions to business problems.
The information technology curriculum covers a wide range of topics, including computer programming, data structures and algorithms, databases, computer networks, web development, and mobile app development. Students will gain hands-on experience with a variety of programming languages and development platforms, such as Python, Java, and iOS, and will learn how to design and build software applications that meet the needs of businesses and organizations. -
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Activities and Societies: Course Rep
The Diploma in Software Engineering program is designed to provide students with a comprehensive understanding of the software development life cycle and the tools and techniques used in modern software engineering practices. The curriculum covers a range of topics, including programming languages, software design, data structures and algorithms, databases, and software testing and quality assurance.
Throughout the program, students will gain hands-on experience with various software…The Diploma in Software Engineering program is designed to provide students with a comprehensive understanding of the software development life cycle and the tools and techniques used in modern software engineering practices. The curriculum covers a range of topics, including programming languages, software design, data structures and algorithms, databases, and software testing and quality assurance.
Throughout the program, students will gain hands-on experience with various software development tools and technologies, allowing them to apply their knowledge to real-world projects. They will also develop important technical skills, such as problem-solving and critical thinking, that are essential for success in the software engineering field.
The program also emphasizes the importance of teamwork and collaboration, as students work together on group projects and presentations. -
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Licenses & Certifications
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Career Essentials in Data Analysis by Microsoft and LinkedIn
Microsoft
IssuedCredential ID cade4a8ca39066c31dc35f51db27b0b157f04bc0654c6695387b58a8bdfc43b7 -
Career Essentials in Software Development by Microsoft and LinkedIn
Microsoft
IssuedCredential ID a8faec34cd0b15ae226361d6896dfd832e33a44a008803d934688e1800ce6d21 -
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Volunteer Experience
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CSEE PGR Representative
Undeb Bangor (Bangor Students' Union)
- Present 11 months
Science and Technology
As current CSE PGR students, you are the experts at being able to comment and provide feedback form the student community on the research environment, supervision, support and the overall experience that you are receiving, and being an active PGR representative to your School counts towards developing your personal and professional skills.
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Peer Guide
Bangor University
- Present 1 year 1 month
Education
Role Description:
Ambassador and Role Model: Act as a positive ambassador and role model for new students, ensuring they settle in smoothly at Bangor University.
Diverse Representation: Represent the diverse student profile of Bangor, ensuring that age, gender, ethnic background, or other factors do not hinder the Peer Guide experience.
Promote Positive Attitudes: Advocate for a positive student experience, ensuring university regulations and procedures are adhered…Role Description:
Ambassador and Role Model: Act as a positive ambassador and role model for new students, ensuring they settle in smoothly at Bangor University.
Diverse Representation: Represent the diverse student profile of Bangor, ensuring that age, gender, ethnic background, or other factors do not hinder the Peer Guide experience.
Promote Positive Attitudes: Advocate for a positive student experience, ensuring university regulations and procedures are adhered to.
Facilitate Inclusive Activities: Help new students access a range of inclusive activities, ensuring they feel integrated into the university community.
Maintain Confidentiality: Respect the privacy of new students by keeping personal information confidential.
Pre-Arrival Contact: Collaborate with Academic Schools to introduce yourself to incoming students, answering queries and informing them about their arrival at Bangor.
Arrival Weekend Duties: Welcome new students by visiting them in their Halls of Residence, providing essential information and inviting them to social events.
Welcome Week Activities: Assist in various activities during Welcome Week, including induction sessions, campus tours, and facilitating social events.
Ongoing Support: Maintain contact with new students beyond Welcome Week, offering support as needed and understanding that the level of interaction may vary based on individual needs.
Training and Development: Complete mandatory online training to ensure preparedness for the role and attend information sessions to stay updated.
Note: This role requires dedication, reliability, and a friendly approach. It's essential to prioritize the needs of new students and ensure their smooth transition into university life.
For more information, please contact: [email protected]. -
International Student Mentor
Bangor University
- Present 1 year 3 months
Science and Technology
Role description
https://www.bangor.ac.uk/profiles/students/glory-ogbonda
Role:
The International Student Mentors will play a key part in the support programme offered to international students studying at Bangor and will work with staff at the International Student Support Service in ensuring an excellent student experience.
Main Purpose:
• To be effective mentors for Bangor University by contributing to improving the Bangor Experience for new and existing…Role description
https://www.bangor.ac.uk/profiles/students/glory-ogbonda
Role:
The International Student Mentors will play a key part in the support programme offered to international students studying at Bangor and will work with staff at the International Student Support Service in ensuring an excellent student experience.
Main Purpose:
• To be effective mentors for Bangor University by contributing to improving the Bangor Experience for new and existing students.
• Assist with, and support, the various social trips & events organised by the International Student Support office.
• To provide enthusiastic, efficient and reliable support for a range of orientation and year-round activities.
• Help new international students to settle in at Bangor University.
• Support with some marketing duties to recruit prospective international student.
Further details / Specific duties:
The students selected as International Student Mentors will be required to:
• Play a role in content generation, posting, and responding to comments/queries on social media channels.
• Contribute to and feature in marketing material aimed at international students, such as the printed International Student Handbook and e-newsletters.
• Assist with the hosting of any inward visits from overseas agents, visiting students, parents and overseas delegations.
• Provide additional support and information for international students in the run –up to and throughout Welcome Week. This would include responding to pre-entry enquiries from applicants, taking part in the meet and greet service to the airports, and participating in welcome week events.
• Participate in social activities arranged for various groups of international students as part of the year-round induction process, and assist in further developing the social programme. -
Course Representative Msc. Advanced Computer Science
Undeb Bangor (Bangor Students' Union)
- 9 months
Science and Technology
As a Course Representative for MSc Advanced Computer Science, my role was multi-faceted, encompassing leadership, communication, and advocacy.
I served as a crucial bridge between the student body and the faculty, ensuring that students' concerns, ideas, and feedback were accurately communicated to the academic staff. I facilitated open dialogues and meetings, fostering an environment where every student's voice could be heard and respected.
In addition, I actively participated in…As a Course Representative for MSc Advanced Computer Science, my role was multi-faceted, encompassing leadership, communication, and advocacy.
I served as a crucial bridge between the student body and the faculty, ensuring that students' concerns, ideas, and feedback were accurately communicated to the academic staff. I facilitated open dialogues and meetings, fostering an environment where every student's voice could be heard and respected.
In addition, I actively participated in departmental meetings and committees, presenting student viewpoints and contributing to the decision-making process. This included discussions on curriculum development, teaching methods, and the provision of resources, ensuring the academic experience was as enriching and effective as possible for all students.
Another significant aspect of my role was identifying and addressing any issues or challenges faced by students. This involved strategising solutions, often in collaboration with faculty, to resolve concerns such as the pacing of the curriculum, availability of resources, or clarity of course objectives.
Finally, I was committed to promoting a sense of community within the course, organizing events and initiatives to encourage engagement and peer support.
Through my tenure as a Course Representative, I aimed to foster a productive, inclusive, and collaborative academic environment, enriching the overall learning experience for my peers. -
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Publications
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Crafting Visual Narratives: A Case Study on Developing an Engaging Visualisation Poster Using U.S. Immigration Data
Eurographics Digital Library
This paper presents a design study that elucidates the process of creating an engaging visualisation poster using U.S. immi- gration data as the focal point. The primary objective is to demonstrate the methodical journey of crafting a compelling story from raw data and effectively portraying it in a poster format. In the process, we manoeuvre through varied tactics of data display, visualisation tool implementation, and poster presentation. As a case study, we offer three important reflective…
This paper presents a design study that elucidates the process of creating an engaging visualisation poster using U.S. immi- gration data as the focal point. The primary objective is to demonstrate the methodical journey of crafting a compelling story from raw data and effectively portraying it in a poster format. In the process, we manoeuvre through varied tactics of data display, visualisation tool implementation, and poster presentation. As a case study, we offer three important reflective insights that underscore our experience constructing such a poster, which is a practical guide for individuals pursuing similar endeav- ours. Key considerations underpinning this guide include prioritising a ‘big hero’ visualisation, ensuring a coherent narrative flow through the poster, and attentively curating the meta information to provide the necessary context, enabling the poster to communicate its message independently
Other authorsSee publication -
Immersive WebXR Data Visualisation Tool
Eurographics Digital Library
This paper presents a study of a WebXR data visualisation tool designed for the immersive exploration of complex datasets in a 3D environment. The application developed using AFrame, D3.js, and JavaScript enables an interactive, device-agnostic platform compatible with various devices and systems. A user study is proposed to assess the tool’s usability, user experience, and mental workload using the NASA Task Load Index (NASA TLX). The evaluation is planned to employ questionnaires, task…
This paper presents a study of a WebXR data visualisation tool designed for the immersive exploration of complex datasets in a 3D environment. The application developed using AFrame, D3.js, and JavaScript enables an interactive, device-agnostic platform compatible with various devices and systems. A user study is proposed to assess the tool’s usability, user experience, and mental workload using the NASA Task Load Index (NASA TLX). The evaluation is planned to employ questionnaires, task completion times, and open-ended questions to gather feedback and insights. The anticipated results aim to provide insights into the effectiveness of the application in supporting users in understanding and extracting insights from complex data while delivering an engaging and intuitive experience. Future work will refine and expand the tool’s capabilities by exploring inter-action guidance, visualisation layout optimisation, and long-term user experience assessment. This research contributes to the growing field of immersive data visualisation and informs future tool design.
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Interweaving Data and Stories: A Case Study on Unveiling the Human Dimension of U.S. Refugee Movements through Narrative Visualisation
Eurographics Digital Library
In response to the escalating global refugee crisis, we present a case-study of developing an advanced tool for interpreting high-dimensional refugee data. Developed using Mapbox and D3.js, our interactive visualisation harmonises geographical and temporal dimensions of U.S. refugee data from the State Department’s Refugee Processing Center. Our modular approach and robust data preprocessing enable seamless interactions among diverse visual components. The result is a narrative-driven…
In response to the escalating global refugee crisis, we present a case-study of developing an advanced tool for interpreting high-dimensional refugee data. Developed using Mapbox and D3.js, our interactive visualisation harmonises geographical and temporal dimensions of U.S. refugee data from the State Department’s Refugee Processing Center. Our modular approach and robust data preprocessing enable seamless interactions among diverse visual components. The result is a narrative-driven visualisation that reveals broad immigration trends and individual refugee movements, fostering a nuanced and empathetic understanding of refugee dynamics. This work highlights the power of narrative visualisations in shaping policy decisions and promoting global discourse on the refugee crisis, marking a significant leap in data visualisation for refugee and immigration challenges
Other authorsSee publication
Courses
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Advance excel tools and techniques for analysing data
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Advanced Machine Learning
ICE 4701
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Automated Testing Using JUNIT
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Computer Networks and Internetworking
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Developing Mobile Apps on the Android Platform
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Developing Web Applications Using ASP.NET
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Developing Web applications using servlets and JSP
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Developing Windows Store Apps Using HTML5
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Developing Windows Store Apps Using Javascript
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Enterprise Network Troubleshooting
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Ethics, Data & Security
ICE 4601
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High Performance Computing
ICE 4131
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Human Factors in Information Technology
ITX 3000
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Implementing JSF, Hibernate and Spring in Java EE Applications
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Information Systems Project
BIS 3999
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Information Visualisation
ICE 4121
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Introduction to Java
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Logic Building and effective problem solving
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Machine Learning
ICE 4702
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Network Security and Mechanisms
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Object Oriented Programming using C#
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Operating Systems and Application Environment
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RDBMS essentials and T-SQL Programming
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Research Methods and Study Skill
ICE 4003
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Social, Professional and Ethical Issues in Information Systems
BIS 3400
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Strategic Management and Information Systems
BIS 3300
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Virtualisation and Cloud Computing
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Working smart with Microsoft Office and the Internet
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XReality
ICE 4711
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programming In Java
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Projects
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Immersive Data Visualisation Application
A WebVR data visualisation application designed to provide users with an immersive and interactive experience as they explore complex datasets in a 3D environment.
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Individual Animal Identification from Video
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Built ML classifiers to identify animal species in videos, specifically pigeons, koi fish, and pigs. Mitigated class imbalance with strategic sampling techniques and an ensemble method that improved model robustness. Achieved promising results in animal classification accuracy using a cross-validated performance evaluation.
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Information Visualisation: USA Refugee Regions Influx (1975- 2018)
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Discover the journey of refugees resettled in the U.S. from 1975 to 2018, a story of hope, resilience, and diversity.
Honors & Awards
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CDT-AIMLAC Fully-Funded PhD Scholarship.
UKRI Centre for Doctoral Training in Artificial Intelligence, Machine Learning & Advanced Computing (CDT-AIMLAC, http://cdt-aimlac.org/).
The UKRI CDT in Artificial Intelligence, Machine Learning and Advanced Computing provide 4-year, fully funded PhD opportunities across the broad areas of particle physics and astronomy, biological and health, and mathematical and computer sciences. Training in AI, high-performance computing (HPC) and high-performance data analytics (HPDA) plays an essential role, as does engagement with external partners, which include large international companies, locally based start-ups and SMEs, and…
The UKRI CDT in Artificial Intelligence, Machine Learning and Advanced Computing provide 4-year, fully funded PhD opportunities across the broad areas of particle physics and astronomy, biological and health, and mathematical and computer sciences. Training in AI, high-performance computing (HPC) and high-performance data analytics (HPDA) plays an essential role, as does engagement with external partners, which include large international companies, locally based start-ups and SMEs, and government and Research Council partners.
The CDT is built upon longstanding research and training collaborations between the universities of Aberystwyth, Bangor, Bristol, Cardiff and Swansea. In addition, Supercomputing Wales and the University Computing Academies provide bespoke support via Research Software Engineers and access to HPC facilities in a coordinated fashion. We work closely together with the STFC CDT on Data-Intensive Science. -
Course Representative Awards (Msc. Advanced Computer Science)
Undeb Bangor (Bangor Students' Union)
Course Representative Awards for MSc Advanced Computer Science 2022/2023
Test Scores
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Advanced Machine Learning ICE-4701 : A2
Score: 88/100
Introduction to Deep Learning neural networks and their applications.
A2 - A collection of small problems based on the second half of the module. Hand-crafted solutions and short Python code solutions are expected. -
Information Visualisation ICE-4121: A3
Score: 93/100
Apply information visualization techniques (Representation, Presentation, and Interaction) to develop new visualization techniques.
Critically evaluate Information Visualization techniques and suitability for a given purpose.
Describe different aspects of data, identify, analyse and evaluate component parts.
Evaluate and develop alternative visualization design solutions through sketching and planning.
Select appropriate visual techniques for a particular context.
Storytelling…Apply information visualization techniques (Representation, Presentation, and Interaction) to develop new visualization techniques.
Critically evaluate Information Visualization techniques and suitability for a given purpose.
Describe different aspects of data, identify, analyse and evaluate component parts.
Evaluate and develop alternative visualization design solutions through sketching and planning.
Select appropriate visual techniques for a particular context.
Storytelling and Presentation. Display, layout and presentation of visual information. Interaction and static presentation. Techniques such as focus-and-context, size adjustment, scale and distortion; multiple views and composite displays.
A3-Imp: - Created visualisation, presented outcome, and reflective report -
Research Methods and Study Skills ICE-4003 : CW3
Score: 16/20
Appreciate professional, legal, social, cultural and ethical issues.
Critically analyse and select from appropriate research methodologies.
Devise research objectives, develop research design and plan research activities.
Plan a literature review; write a short research summary underpinning project rationale.
ClassTest - Research Methods Case Study Open Book Class Test -
Research Methods and Study Skills ICE-4003: CW2
Score: 44/50
Primary data collection methods.
Statistical principles of data analysis.
Summarising results and arriving to meaningful conclusions.
Preparing research proposals.
Professional, legal, social, cultural and ethical issues related to computing and an awareness of societal and environmental impact of research projects.
CW2 - Methodology proposal -
Virtual, Mixed/ Augmented and Mediated Reality ICE-4711 : FA
Score: 90/100
XR Application Programming & Development
Final Assessment: Implement - XR Application Implementation, Evaluation and Reporting -
Advanced Machine Learning ICE-4701 : A1
Score: 90/100
Review of the fundamentals of machine learning: supervised and unsupervised learning, classifier models, and feature selection.
Classifier ensembles.
Imbalanced data, streaming data and concept drift: machine learning solutions.
A1 - A collection of small problems based on the first half of the module. Hand-crafted solutions and short Python code solutions are expected. -
Research Methods and Study Skills ICE-4003 : CW1
Score: 97/100
Research theory basics: paradigms, domains and approaches.
Contextualisation of Research Methods in relation to MSc project scope.
Research process: design, planning, and implementation.
Coping with information overload, selection of secondary sources, their critical evaluation and role in independent research. Structuring literature review to inform theoretical framework and justify selection of methodology.
Research rationale; setting research objectives and developing…Research theory basics: paradigms, domains and approaches.
Contextualisation of Research Methods in relation to MSc project scope.
Research process: design, planning, and implementation.
Coping with information overload, selection of secondary sources, their critical evaluation and role in independent research. Structuring literature review to inform theoretical framework and justify selection of methodology.
Research rationale; setting research objectives and developing hypotheses.
CW1 - Who, what, when, where and why? -
Virtual, Mixed/ Augmented and Mediated Reality ICE-4711 : A2
Score: 90/100
Registration and tracking Mechanisms for XR
User Experience of XR applications
Presence and Immersion
A-2: Reqs - XR Application Requirements Outline -
Information Visualisation ICE-4121: A2
Score: 93.75/100
Design of visualisations, Five Design-Sheet method; Consideration and critical thinking around alternative solutions.
A-2-Design: - Technical design plan -
Virtual, Mixed/ Augmented and Mediated Reality ICE-4711 : A1
Score: 90/100
Foundational principles of (X)R (Virtual Reality, Mixed/Augmented Reality) interaction paradigms and related environments.
History, state-of-the-art and Future of (X)R
XR Interfaces, services and hardware platforms
A-1: Literature Review Outline (mind-map) -
Machine Learning ICE-4702: CA2
Score: 100/100
Clustering.
Neural networks: standard architectures and deep learning.
CA-2: A collection of small problems based on the second half of the module. Hand-crafted solutions and short Python code solutions are expected. -
Machine Learning ICE-4702: EXAM
Score: 100/100
Detail and apply clustering algorithms to data sets.
Evaluate classifier models and their operation using appropriate metrics and measures.
Explain and apply the basic notions and principles of machine learning.
Summarise neural network models and their training procedures.
Understand feature selection methods.
Exam: 2-hour exam of type "Choose any 2 of 4", consisting of problems to solve by hand. The problems will be similar to those in the labs and assignments. All notes…Detail and apply clustering algorithms to data sets.
Evaluate classifier models and their operation using appropriate metrics and measures.
Explain and apply the basic notions and principles of machine learning.
Summarise neural network models and their training procedures.
Understand feature selection methods.
Exam: 2-hour exam of type "Choose any 2 of 4", consisting of problems to solve by hand. The problems will be similar to those in the labs and assignments. All notes, books, and internet resources are NOT permitted. -
Ethics, Data & Security ICE-4601: TEST2 - Class Test - Data Categories
Score: 77/100
Data; the definitions and concepts.
Contextualisation of dat -
Ethics, Data & Security ICE-4601: TEST1 - Class Test - Analysis and Storage Ethics
Score: 70/100
Analytical methods using data.
Ethics of processing data with and without automatic decisions.
Data Protection legislation (DPA, GDPR, HIPAA, COPPA, etc.).
Data collection mechanisms.
Storage mechanisms for data (in broad terms) -
Information Visualisation ICE-4121: A1
Score: 82.5/100
History and future of Information Visualization; the challenges of Information Visualization; tasks; user, perception, data types.
Looking at data. Data capture and problems of capturing data. Selection/abstraction of data (aggregation, sampling; binning; cropping); Big data challenges.
Understand current visualisation techniques, including traditional plots (bar, line, scatter etc.), parallel coordinate plots, treemaps, re-orderable matrix; scatter plot matrix.
Perception, visual…History and future of Information Visualization; the challenges of Information Visualization; tasks; user, perception, data types.
Looking at data. Data capture and problems of capturing data. Selection/abstraction of data (aggregation, sampling; binning; cropping); Big data challenges.
Understand current visualisation techniques, including traditional plots (bar, line, scatter etc.), parallel coordinate plots, treemaps, re-orderable matrix; scatter plot matrix.
Perception, visual mapping and interpretation; understanding how humans perceive information. Encoding of value; Encoding of relation; Models: Bertin, Mackinlay (Quantitative, Ordinal, and Categorical), Semiotics.
A-1: - Analysis of data -
Machine Learning ICE-4702: CA1
Score: 100/100
Basics of machine learning: Concepts of object, class, feature. Training and testing protocols. Error estimation. ROC curves. Supervised and unsupervised learning.
Classification methods: basic classifiers and classifier ensembles.
Feature selection
CA-1: A collection of small problems based on the first half of the module. Hand-crafted solutions and short Python code solutions are expected. -
Developing windows store apps using JavaScript
Score: 88/100
Semester Four (4) Professional Diploma in Information Technology
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Developing windows store apps using HTML5
Score: 90/100
Semester Four (4) Professional Diploma in Information Technology
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Developing web applciations using ASP.NET
Score: 93/100
Semester Four (4) Professional Diploma in Information Technology
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Object oriented programming using C#
Score: 87/100
Semester Four (4) Professional Diploma in Information Technology
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Automated Testing using JUNIT
Score: 83/100
Semester Three (3) Advanced Diploma in Information Technology
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Implementing JSF, hibernate and spring in Java EE applications
Score: 81/100
Semester Three (3) Advanced Diploma in Information Technology
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Developing mobile apps on the android platform
Score: 83/100
Semester Three (3) Advanced Diploma in Information Technology
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Developing Web applications using servlets and JSP
Score: 86/100
Semester Two (2) Honours Diploma in Information Technology
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HTML5 Programming
Score: 90/100
Semester Two (2) Honours Diploma in Information Technology
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Introduction to Java
Score: 93/100
Semester Two (2) Honours Diploma in Information Technology
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Programming in Java
Score: 87/100
Semester Two (2) Honours Diploma in Information Technology
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Advance Excel tools and techniques for analysing data
Score: 75/100
Semester One (1) Advanced Certificate in Information Technology
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RDBMS essentials and T-SQL programming
Score: 90/100
Semester One (1) Advanced Certificate in Information Technology
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Logic building and effective problem sloving
Score: 95/100
Semester One (1) Advanced Certificate in Information Technology
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Working smart with Microsoft Office and the Internet
Score: 94/100
Semester One (1) Advanced Certificate in Information Technology
Languages
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English
Native or bilingual proficiency
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German
Full professional proficiency
Organizations
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Cardiff University
Post-graduate student (occasional studies)
- Present -
University of Bristol
Physics (Visting) (PGR) (2PHYS028R)
- Present -
Bangor University
Post-graduate Student
- PresentMsc Advanced Computer Science PhD Computer Science
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Qrapp Technology Ltd
CEO
- Present -
Middlesex University
Under-graduate Student
-Bsc Information Technology and Business Informative Systems
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