Basic principles of structure and reactivity. Microscopic nature of atoms and molecules; the macroscopic properties of chemical systems. Topics include stoichiometry, thermochemistry, atomic structure, molecular structure, properties of gases. (Gen.Ed. PS)


Prerequisites: MATH 101 and MATH 102, or its equivalent of MATH 104, or a score of 20 or higher on Part "A" of the Math Placement test, or MATH 127, 128, 131, or 132. Note: a maximum of 5 units may be received for both CHEM 101 and CHEM 102, or 2 units for either, if CHEM 111 is completed.

Basic principles of structure and reactivity. Microscopic nature of atoms and molecules; the macroscopic properties of chemical systems. Topics include stoichiometry, thermochemistry, atomic structure, molecular structure, properties of gases. (Gen.Ed. PS)


Prerequisites: MATH 101 and MATH 102, or its equivalent of MATH 104, or a score of 20 or higher on Part "A" of the Math Placement test, or MATH 127, 128, 131, or 132. Note: a maximum of 5 units may be received for both CHEM 101 and CHEM 102, or 2 units for either, if CHEM 111 is completed.

Basic principles of structure and reactivity. Microscopic nature of atoms and molecules; the macroscopic properties of chemical systems. Topics include stoichiometry, thermochemistry, atomic structure, molecular structure, properties of gases. (Gen.Ed. PS)


Prerequisites: MATH 101 and MATH 102, or its equivalent of MATH 104, or a score of 20 or higher on Part "A" of the Math Placement test, or MATH 127, 128, 131, or 132. Note: a maximum of 5 units may be received for both CHEM 101 and CHEM 102, or 2 units for either, if CHEM 111 is completed.

This course provides an introduction to computational techniques that are applicable to environmental problems. The students are expected to attain hands-on experience with numerical and statistical programming tools and learn how to perform a series of analysis and visualization tasks. Moreover, cloud-based and massively parallel technologies will be introduced as well as fundamental computational concepts and abstractions.

Introduction to fundamental principles and concepts necessary to carry out meaningful and appropriate geographic analysis with geographic information science (GIS). Reinforcement of key issues in GIS such as geographic coordinate systems, map projections, spatial analysis, use of remotely sensed data, and visualization of spatial data. Laboratory exercises use database query, database manipulation, and spatial analysis to address problems in hydrology, water treatment, renewable energy, and transportation with an emphasis on engineering design.

Fundamentals of thermodynamics, conservation of mass and energy, control volume analysis. Heat engines, heat pumps, Carnot cycles, entropy, process efficiencies. Heat transfer mechanisms. Applications to civil engineering facilities.

Introduction to fundamental principles and concepts necessary to carry out meaningful and appropriate geographic analysis with geographic information science (GIS). Reinforcement of key issues in GIS such as geographic coordinate systems, map projections, spatial analysis, use of remotely sensed data, and visualization of spatial data. Laboratory exercises use database query, database manipulation, and spatial analysis to address problems in hydrology, water treatment, renewable energy, and transportation with an emphasis on engineering design.

Introduction to fundamental principles and concepts necessary to carry out meaningful and appropriate geographic analysis with geographic information science (GIS). Reinforcement of key issues in GIS such as geographic coordinate systems, map projections, spatial analysis, use of remotely sensed data, and visualization of spatial data. Laboratory exercises use database query, database manipulation, and spatial analysis to address problems in hydrology, water treatment, renewable energy, and transportation with an emphasis on engineering design.

Introduction to fundamental principles and concepts necessary to carry out meaningful and appropriate geographic analysis with geographic information science (GIS). Reinforcement of key issues in GIS such as geographic coordinate systems, map projections, spatial analysis, use of remotely sensed data, and visualization of spatial data. Laboratory exercises use database query, database manipulation, and spatial analysis to address problems in hydrology, water treatment, renewable energy, and transportation with an emphasis on engineering design.