To understand how data analytics create organisational values and to demonstrate visual representation of big data sets for exploring business intelligence and opportunities.
- Trainer/in: Iman Ardekani
- Trainer/in: Neda Sakhaee
To enable students to critically evaluate machine learning methods and web-based system to meet web development requirements and engage with organisation customers, and apply processes and design strategies to solve customer relationship management (CRM) problem.
- Trainer/in: Iman Ardekani
- Trainer/in: Norasieh Md Amin
- Trainer/in: Lei Song
To develop an advanced technical knowledge and enhanced understanding of The Internet of Things technologies and their applications to a wide range of real-world problems.
- Trainer/in: Iman Ardekani
- Trainer/in: Norasieh Md Amin
- Trainer/in: Guillermo Ramirez Prado
To enable students to critically evaluate machine learning algorithms and their applications in a wide range of artificial intelligent systems.
- Trainer/in: Iman Ardekani
- Trainer/in: Ali Keivanmarz
- Trainer/in: Norasieh Md Amin
- Trainer/in: Hamid Sharifzadeh
The aim of this course is to equip the participants with an in-depth understanding of concepts, procedures and computing techniques for cybersecurity in the context of cloud-based systems and small size business infrastructure planning.
- Trainer/in: Norasieh Md Amin
- Trainer/in: Bahman Sarrafpour
To develop an advanced technical knowledge and enhanced understanding of The Internet of Things technologies and their applications to a wide range of real-world problems.
- Trainer/in: Iman Ardekani
- Trainer/in: Eltahir Kabbar
- Trainer/in: Norasieh Md Amin
To enable students to examine and evaluate key security principles and issues of mobile networks and platforms and critically analyse the impact of contemporary security developments on mobile platforms.
- Trainer/in: Iman Ardekani
- Trainer/in: Samad Kolahi
- Trainer/in: Norasieh Md Amin
- Trainer/in: Iman Ardekani
- Trainer/in: Maryam Erfanian Sabaee
- Trainer/in: Hamid Sharifzadeh
This course will provide students with the opportunity to analyse applied technologies through the lens of their chosen pathway. Students will devise and conduct a small applied technologies-based investigative project that demonstrates intellectual independence and analytical rigour within a framework of information and principles related to their chosen applied technologies specialisation.
Students will develop their applied technologies project in a practice-based learning environment through industry-relevant learning, or through a project aligned to their area of interest.
This course will help to foster an analytic approach to the design, execution and reporting on a specific project. It will enable students to refine and extend their research skills within a specifically professional and pathway-aligned context.
- Trainer/in: Iman Ardekani
- Trainer/in: Bashar Barmada
- Trainer/in: Maryam Erfanian Sabaee
- Trainer/in: Eltahir Kabbar
- Trainer/in: Samad Kolahi
- Trainer/in: Masoud Shakiba
- Trainer/in: Lei Song
- Trainer/in: Soheil Varastehpour
- Trainer/in: Iman Ardekani
- Trainer/in: William Liu
- Trainer/in: Norasieh Md Amin