Higher Education Certificate for Physical Sciences is intended for students who will pursue Computing and Technology, Statistics, Biomedical Engineering and Science Education.
This course will give students an understanding of aspects of Mathematics that are needed in a wide range of applications. The course is designed to allow students to develop competence in a range of mathematical and statistical techniques, which they can then apply within a range of scientific contexts. The module reinforces basic mathematical concepts and is accessible to students with a wide range of previous mathematical experiences. The structure and programme of delivery is specifically designed to support the other courses within the Higher Education Certificate programme and beyond.
- Semester One 2023-2024: Hassan Abdullahi
- Semester One 2023-2024: Norah Ademun
- Semester One 2023-2024: OMONDI ALUNDA
- Semester One 2023-2024: BIAR APAJOK
- Semester One 2023-2024: HAMIDU ARAFAT
- Semester One 2023-2024: JOSEPHINE ASIOMIZU
- Semester One 2023-2024: EDWIN ATUGONZA
- Semester One 2023-2024: Adam Ayub
- Semester One 2023-2024: OBIERO CALVINCE
- Semester One 2023-2024: PITA DEBORAH
- Semester One 2023-2024: OTIENO DEDE
- Semester One 2023-2024: KUOT DENG
- Semester One 2023-2024: NYINYAR DOR
- Semester One 2023-2024: Ali Fartun
- Semester One 2023-2024: JOSEPH FRANCO
- Semester One 2023-2024: OJALA FREDRICK
- Semester One 2023-2024: JOK GAI
- Semester One 2023-2024: PHILIP GARANG
- Semester One 2023-2024: MACHUMA GESORE
- Semester One 2023-2024: ROBINAH INYONU
- Semester One 2023-2024: Duwa Jerry
- Semester One 2023-2024: Tut John
- Semester One 2023-2024: K KAGAME
- Semester One 2023-2024: BRIAN KAMANYIRE
- Semester One 2023-2024: MARTIN KASERA
- Semester One 2023-2024: PEACE KASULE
- Semester One 2023-2024: KIPKOECH KEMBOI
- Semester One 2023-2024: JOB KIBAGENDI
- Semester One 2023-2024: FAROOQ KIIRYA
- Semester One 2023-2024: JOHNSTONE KIMELI
- Semester One 2023-2024: CHESILIM KIPCHUMBA
- Semester One 2023-2024: NGOUH KOANG
- Semester One 2023-2024: ADERA MAGUTHU
- Semester One 2023-2024: PATRICK MAYANJA
- Semester One 2023-2024: JAMES META
- Semester One 2023-2024: WILLIAM MITEI
- Semester One 2023-2024: YUSSUF MUBARAK
- Semester One 2023-2024: CONSOLATA MUINDI
- Semester One 2023-2024: ABDALLA NADA
- Semester One 2023-2024: HANNAH NAKACHWA
- Semester One 2023-2024: FLORENCE NAKASOZI
- Semester One 2023-2024: JOSELINE NAMPEERA
- Semester One 2023-2024: MUTUA NGILA
- Semester One 2023-2024: REHEMA NJOREGWA
- Semester One 2023-2024: KAMANDE NJOROGE
- Semester One 2023-2024: GLORIA NYANZI
- Semester One 2023-2024: MBOYA OBIERO
- Semester One 2023-2024: DERRICK OCHOLA
- Semester One 2023-2024: AOKO ODHIAMBO
- Semester One 2023-2024: Otieno Odhiambo
- Semester One 2023-2024: BRIAN ODIDA
- Semester One 2023-2024: JUSTUS OGOTI
- Semester One 2023-2024: David Onyacha
- Semester One 2023-2024: ELPHIS ONYANGO
- Semester One 2023-2024: MBOYA ONYANGO
- Semester One 2023-2024: DOMINIC ONYWKI
- Semester One 2023-2024: OYOMA OPIYO
- Semester One 2023-2024: PETER OUMA
- Semester One 2023-2024: BRIAN OWUOR
- Semester One 2023-2024: PHILLIP PENINAH
- Semester One 2023-2024: GERRALD RUMPAS
- Semester One 2023-2024: JOKOT TENY
- Semester One 2023-2024: Ogelo Tonny
- Semester One 2023-2024: KANJA WAMBUI
- Semester One 2023-2024: MAINA WANGU
- Semester One 2023-2024: CHRISTOPHER WANJALA
- Semester One 2023-2024: MOHAMED YUSUF
- Étudiants inscrits: 67
This course will provide students with an in-depth introduction to Newtonian Mechanics and properties of matter. The course will be delivered through a combination of theoretical lectures, problem-solving tutorials and laboratory-based practicals. Laboratory sessions are expected to reinforce theory and instill sound laboratory practices. Practicals should enable students to increase their competence in numeracy, ICT, communication, teamwork and independent learning skills.
- Semester One 2023-2024: HAMIDU ARAFAT
- Semester One 2023-2024: Adam Ayub
- Semester One 2023-2024: KUOT DENG
- Semester One 2023-2024: ROBINAH INYONU
- Semester One 2023-2024: PEACE KASULE
- Semester One 2023-2024: JOHNSTONE KIMELI
- Semester One 2023-2024: HANNAH NAKACHWA
- Semester One 2023-2024: JOSELINE NAMPEERA
- Semester One 2023-2024: REHEMA NJOREGWA
- Étudiants inscrits: 9
This course will be taught based on a blended content to introduce students to digital world. The digital world is upon us both personally and professionally. Students will be taught to have a better understanding of the Internet, computers and social media which will be a big help toward acquiring digital skills. With these skills students will more opportunities and possibilities opened for them individually as far as career advancement. Areas to be considered will not be limited to using a computer, connect devices and access search, email, and social media. This course content is very user friendly and interactive with lots of illustrations. No previous knowledge is needed for this introductory course.
- Semester One 2023-2024: HAMIDU ARAFAT
- Semester One 2023-2024: Adam Ayub
- Semester One 2023-2024: KUOT DENG
- Semester One 2023-2024: ROBINAH INYONU
- Semester One 2023-2024: PEACE KASULE
- Semester One 2023-2024: JOHNSTONE KIMELI
- Semester One 2023-2024: FRANK LUBULWA
- Semester One 2023-2024: HANNAH NAKACHWA
- Semester One 2023-2024: JOSELINE NAMPEERA
- Semester One 2023-2024: REHEMA NJOREGWA
- Semester One 2023-2024: MOHAMED YUSUF
- Étudiants inscrits: 11
This course introduces students to a blended learning. Networking is the major concepts that gets devices connected. Although often unseen, it enables user to stay connected on any given network as they move around freely using our laptop or smartphone. This course teaches the basic networking concepts and the skills that you can put to use right away. Its underlying principles will help students to set-up a SOHO (small-office / home-office) networks and put students on the path to managing a larger-scale business network.
- Enseignant: David Mpanga
- Enseignant: Birumi Timothy
- Semester One 2023-2024: HAMIDU ARAFAT
- Semester One 2023-2024: Adam Ayub
- Semester One 2023-2024: Dremor Byekwaso
- Semester One 2023-2024: George Charles
- Semester One 2023-2024: Philip Abit Biar Dau
- Semester One 2023-2024: Bahati David
- Semester One 2023-2024: Emmanuel Deng
- Semester One 2023-2024: KUOT DENG
- Semester One 2023-2024: Jovia Fubi
- Semester One 2023-2024: Buay kun Gach
- Semester One 2023-2024: ARADAS INYANYI
- Semester One 2023-2024: ROBINAH INYONU
- Semester One 2023-2024: PEACE KASULE
- Semester One 2023-2024: FRANK LUBULWA
- Semester One 2023-2024: Garang Mayen
- Semester One 2023-2024: HANNAH NAKACHWA
- Semester One 2023-2024: JOSELINE NAMPEERA
- Semester One 2023-2024: MUSOKI DOREEN NATASHA
- Semester One 2023-2024: REHEMA NJOREGWA
- Semester One 2023-2024: Akoy Reech
- Semester One 2023-2024: Drago Samuel Jared
- Semester One 2023-2024: Micheal Tor
- Semester One 2023-2024: Yusuf Waali
- Semester One 2023-2024: Gatphan Wichar
- Semester One 2023-2024: MOHAMED YUSUF
- Semester One 2023-2024: PETER MAKU ZACHARIAH HISSEN
- Semester One 2023-2024: Sakariye Zack
- Étudiants inscrits: 27
This second foundation course in Mathematics consists of two parts: an introduction to multivariate calculus and an introduction to statistics. The mathematical part develops the mathematical skills required for mathematical modelling of systems involving more than one independent variable. The statistics part is an introduction to descriptive statistics, probability and statistical inference. The course places strong emphasis on developing a clear theoretical understanding of various analytical tools as well as an appreciation of the application of mathematics and statistics to different contexts. These skills and competencies provide a foundation for professional practice and for further study in the many different undergraduate fields.
- Semester One 2023-2024: JOHNSTONE KIMELI
- Semester One 2023-2024: FRANK LUBULWA
- Étudiants inscrits: 2
This course will provide students with an in-depth introduction to electromagnetism, atomic and nuclear physics as well as an introduction to optical physics. The course will be delivered through a combination of theoretical lectures, problem-solving tutorials and laboratory-based practicals. Laboratory sessions are expected to reinforce theory and instill sound laboratory practices. Practicals should enable students to increase their competence in numeracy, ICT, communication, teamwork and independent learning skills.
- Enseignant: willy kamya
- Semester One 2023-2024: JOHNSTONE KIMELI
- Semester One 2023-2024: FRANK LUBULWA
- Étudiants inscrits: 2
The host of factors that promote high-risk behaviour such as alcoholism, drug abuse, and casual relationships are boredom, rebellion, disorientation, peer pressure and curiosity. The psychological push factors such as the inability to tackle emotional pain, conflicts, frustrations, and anxieties about the future are often the driving force for high risk behaviour. Life skills training is an efficacious tool for empowering the youth to act responsibly, take initiative and take control. It is based on the assumption that when young people are able to rise above emotional impasses arising from daily conflicts, entangled relationships, and peer pressure, they are less likely to resort to anti-social or high-risk behaviours.
- Semester One 2023-2024: JOHNSTONE KIMELI
- Étudiants inscrits: 1