Course Descriptions

Introduction to computers, computer programs and the Java language, identifiers, variables, assignment statements, constants, data types, casting, selections, loops, methods, arrays, strings and characters.

Academic writing and speaking skills with a focus on organizing a research project involving a proposal, preliminary and ongoing research, annotations, thesis proposal, works cited and an interview to demonstrate the results of their work. Critical thinking, reasoning, logical argumentation, and presentation skills.

The origins of ethical thought; ethical principles and basic theories; personal, academic and professional ethics for engineers; environmental ethics; ethical implications of technology, computer ethics; ethics in research and experimentation.

Integration techniques; improper integrals. Infinite series, positive and alternating series, power series, Taylor and Maclaurin series. Polar coordinates. Vectors and motion in space, vector valued functions.

Charge and matter, electric field and Gauss' law, electric potential, capacitors, DC circuits, magnetic field, Ampere's law, Faraday's law, inductance, magnetic properties of matter, Maxwell's equations.

Experiments on: capacitors; DC circuits; magnetic field; Ampere's law; Faraday's law; inductance; magnetic properties of matter.

Illustration of “narration” and its types; writing and communication modes; exemplified by masterspieces chosen from Turkish and world literature; exercises in effective writing and public speech.

This course aims to discuss political, social, cultural and economic transformations in the 19th century in their relation with the formation of the Republican Turkey and focuses on the modernization process in the early republican period until 1945.

Matrices, matrix addition, matrix and scalar multiplication, algebraic properties of matrix operations, special types of matrices, solving linear systems, elementary row and column operations, echelon form of a matrix, Gauss and Gauss-Jordan method, elementary matrices and finding the inverse of a matrix by using elementary operations, real vector spaces, definition, subspaces, span and linear independence, basis and dimensions, homogeneous systems, rank of a matrix, linear spaces with inner product, definition of the inner product, Gram-Schmidt process, orthogonal complements, linear transformation and their matrix representations, kernel and range of a linear transformation, matrix of a linear transformation, determinants, definition and properties of determinants, cofactor expansion, finding inverses by using cofactors, eigenvalues and eigenvectors, characteristic polynomial and equation of a matrix, eigenvalues and eigenvectors, diagonalization of symmetric matrices.