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Browsing College of Engineering, Design, Art and Technology (CEDAT) by Title
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College of Engineering, Design, Art and Technology (CEDAT)
Browsing College of Engineering, Design, Art and Technology (CEDAT) by Title
Mak UD Home
College of Engineering, Design, Art and Technology (CEDAT)
Browsing College of Engineering, Design, Art and Technology (CEDAT) by Title
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Browsing College of Engineering, Design, Art and Technology (CEDAT) by Title
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Role of recycled materials in sculpture at MTSIFA.
[1]
The role of social media on voters decision during students campaigns in Makerere University
[1]
The role of technology to art appreciation, study and practice in Makerere University, Kampala
[1]
The role of the graphics tablet as a tool in the art of illustration at Makerere University.
[1]
The role of visual Arts in the execution of Illustrations in Visual Communication design around Kampala.
[1]
Role of visual arts in the prevention of early pregnancies among adolescents in Uganda.
[1]
Role of visual communication in theatre performing arts in Kampala (A case study on Animated content).
[1]
The role played by visual communication in fight against domestic violence a case study in mukono.
[1]
Roles of visual communication (outdoor advertising) in Kampala surbub. A case study made in wandegeya.
[1]
Satellite store and forward system for landslide monitoring and prediction
[1]
Satellite store and forward system for landslide monitoring and prediction.
[1]
Sculpture and Meaning: A case study of sculptures in and around the halls of residence in Makerere University.
[1]
A secure Multi-User Selection Scheme for Internet of Things
[1]
A secure Multi-User Selection Scheme For Internet Of Things.
[1]
Selected Monumental Sculpture in Kampala mainly a case study of Nantawetwa.
[1]
Selfie photography as a source of inspiration for the photography course
[1]
Setting up of a hotspot manager for MikroTik
[1]
Setting up of a hotspot manager for Mikrotik
[1]
Severity Classification of Brown spot Disease in Passion Fruits Using Multi-Task Deep Learning
[1]
Severity Classification of Brown spot Disease in Passion Fruits Using Multi-task Deep Learning.
[1]
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