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This course is an introduction to the foundational theories and paradigms of communication and
media studies. It orients students of the concepts and principles that underpin key
communication and media theories, as well as their applications to contemporary political,
social and cultural issues in local and global contexts. Drawing from the analytical frameworks
of various theories and paradigms, students are expected to be able to critically examine and
interrogate communication and media texts, institutions and audiences in class discussion,
presentations and written papers.
This course is a (re)introduction and examination of the historical contexts, socio-cultural
developments, and contemporary issues in the field of communication and media. It (re)orients
students of the underpinnings of the discipline and its concepts, traditions and frameworks, as
well as interrogates its developments and debates in its intersections with politics, culture,
identity, and society.
As an introductory course of the MA Comm program, it intends to provide its students the
substantive knowledge about the field, as well as equip them with the analytical and critical
skills at par with the academic rigor required at a graduate level.
Water Resources and Coastal Engineering I covers the subjects of hydraulics and hydrology. This course will enable you to learn the components of hydrologic cycle and reflect on the role of hydrology in the practice of civil engineering. Moreover, this course will teach you how to design reservoir and hydraulic structures such as dams, spillways, outlet works and open channels.
Course Description: History of and developments in civil engineering.
Course Goals This course aims to provide an introduction to the discipline of civil engineering including its history and development, professional
ethics and laws in the civil engineering profession, major fields of civil
engineering, allied fields, civil engineering in the modern society.
Digital Signal Processing begins with a discussion
of the analysis and representation of discrete-time signals, difference
equations, convolution, z-transform and the discrete-time Fourier transform.
The course proceeds to cover design of digital filters: FIR and IIR filters,
filter structures and a discussion of the implementation of FFT. Some practical
applications using DSP algorithms are presented.