BIG DATA ANALYTICS TRAINERPolytechnics Mauritius Ltd • Mission, KS, US
BIG DATA ANALYTICS TRAINER
Polytechnics Mauritius Ltd • Mission, KS, US
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- serp_jobs.job_card.part_time
job_description.job_card.job_descriptionUnderstand the concepts of Big Data and how they relate to an industrial context. Be proactive and able to work under pressure. Possess superior management, presentation communication, analytical and problem-solving skills. Demonstrate commitment and passion for the field. Adept at using Online Teaching Platforms. To report to the Programme Leader. Understand and promote the Vision, Mission, Values, and Strategic Intent of PML among students while teaching. To implement and practice with students the PML 4P's learning methodology. To adopt, promote and use as means of communication, English and French language among students in / out class area. To prepare Module Plan two weeks prior to class delivery for each module assigned outlining all key dates for class activities. To facilitate lectures, conduct tutorials, design syllabi, prepare written material such as lesson notes, assignments among others for class use and bridge theory to practice in the classroom and beyond. To set class assignments and tests, prepare examination papers, mark scripts and input marks in the Student Information System. To participate in Academic Committees and Examination boards. To liaise with the industry stakeholders for the placement of students. To organise Industry Visits for students twice per trimester. To invite Industry Experts / Speakers during class delivery per trimester. To maintain a dynamic classroom style focused on a mix of theory, videos, group discussions, debates, presentations, games / quizzes and other modern pedagogical tools. To adopt creative learning methodology and promote simulation-type concepts in class so that students are exposed to real-life scenarios. To practice Flipped Classroom learning methodology in class. To contribute in the evaluation, process the students through the Professional Conduct Evaluation System. To attend training on Class 365. To regularly update the Learning Management System (LMS) on Class 365 by inputting course-related material, all grades (continuous, practical, internship and final exam) and general information. To use Classe 365 (our Learning Management Platform) to communicate with students and administration. To take attendance on Classe 365 before the start of every class throughout the semester. To coordinate with our academic partner, receive training and maintain quality assurance on all academic partner programmes and related work. To promote and participate in the organisation of programmes, events, and activities aimed at showcasing PML's active involvement in the community. To participate and support (as and when required) in PolyCAS and PolyCORE sessions. Any other related duty as assigned by the Management.
Associate Lecturer
Qualification : A Bachelor Degree in IT with a component in Big Data Analytics or relevant field from a recognized institution.
Experience : At least 5 years' experience in IT with demonstrated experience in handling Big Data Analytics. Experience in teaching Big Data Analytics in a tertiary environment would constitute an advantage.
Knowledge and Skills :
- Understand the concepts of Big Data and how they relate to an industrial context.
- Be proactive and able to work under pressure.
- Possess superior management, presentation communication, analytical and problem-solving skills.
- Demonstrate commitment and passion for the field.
- Adept at using Online Teaching Platforms.
Lecturer
Qualification : A Master's Degree in IT with a component in Big Data Analytics or relevant field from a recognized institution.
Experience : At least 8 years in IT with demonstrated experience in handling Big Data Analytics. Experience in teaching Big Data Analytics in a tertiary environment would constitute an advantage.
Knowledge and Skills :
Duties
Note :
(i) As Associate Lecturer / Lecturer (part-time), you will have a primary interest in the whole training function and should therefore devote all your attention to the students.
(ii) Your services as Associate Lecturer / Lecturer (part-time) shall be apportioned by the Programme Leader to any specific field within your area of competency to provide a high level of service to students, as and when required.
J-18808-Ljbffr
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