This course aims to connect the principles, concepts, and laws/postulates of classical and statistical thermodynamics to applications that require quantitative knowledge of thermodynamic properties from a macroscopic to a molecular level. It covers their basic postulates of classical thermodynamics and their application to transient open and closed systems, criteria of stability and equilibria, as well as constitutive property models of pure materials and mixtures emphasizing molecular-level effects using the formalism of statistical mechanics. Phase and chemical equilibria of multicomponent systems are covered. Applications are emphasized through extensive problem work relating to practical cases.

This 14-minute video lesson looks at how we can scale and/or reverse a Carnot Engine (to make a refrigerator). [Chemistry playlist: Lesson 82 of 106].

This 12-minute video lesson proves that a Carnot Engine is the most efficient engine. [Chemistry playlist: Lesson 83 of 106].

This 14-minute video lesson provides a definition of efficiency for a heat engine.And efficiency of a Carnot Engine.[Chemistry playlist: Lesson 81 of 106].

This 15-minute video lesson helps you understand why enthalpy can be viewed as \heat content\ in a constant pressure system. [Chemistry playlist: Lesson 84 of 106].

Tnis 19-minute video lesson discusses what entropy is and what it isn't. [Chemistry playlist: Lesson 78 of 106].

The Chemistry Faculty is a new, free educational resource for secondary schools and especially those A-level students thinking about applying to University. We have a growing library of short, downloadable films of university lecturers speaking on topics from the A-level curriculum

This 13-minute video lesson examines Maxwell's demon: A thought experiment that seems to defy the 2nd Law of Thermodynamics. [Chemistry playlist: Lesson 79 of 106].

Tnis 9-minute video lesson provides more clarification as to what entropy is and what entropy is not. [Chemistry playlist: Lesson 80 of 106].

This 15-minute video lesson examines why work from expansion is the area under the curve of a PV-diagram. [Chemistry playlist: Lesson 70 of 106].

This 17-minute video lesson studies the conceptual proof that the internal energy of an ideal gas system is 3/2 PV. [Chemistry playlist: Lesson 71 of 106].

This long (28-minute) video lesson explains why entropy is a measure of the number of states a system can take on (mathy, but mind-blowing). [Chemistry playlist: Lesson 77 of 106].

This 16-minute video lesson clarifies that the thermodynamic definition of entropy requires a reversible system. [Chemistry playlist: Lesson 76 of 106].

This 19-minute video lesson examines isothermic and adiabatic processes. It calculates the work done by an isothermic process and shows that it is the same as the heat added. [Chemistry playlist: Lesson 72 of 106].

" This course will cover fundamentals of digital communications and networking. We will study the basics of information theory, sampling and quantization, coding, modulation, signal detection and system performance in the presence of noise. The study of data networking will include multiple access, reliable packet transmission, routing and protocols of the internet. The concepts taught in class will be discussed in the context of aerospace communication systems: aircraft communications, satellite communications, and deep space communications."

" This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, and analyze influential problems and techniques. We use these to analyze real datasets from large-scale studies in genomics and proteomics. The topics covered include: Genomes: biological sequence analysis, hidden Markov models, gene finding, RNA folding, sequence alignment, genome assembly Networks: gene expression analysis, regulatory motifs, graph algorithms, scale-free networks, network motifs, network evolution Evolution: comparative genomics, phylogenetics, genome duplication, genome rearrangements, evolutionary theory, rapid evolution "

Students use a watt meter to measure energy input into a hot plate or hot pot used to heat water. The theoretical amount of energy required to raise the water by the measure temperature change is calculated and compared to the electrical energy input to calculate efficiency.

This Lesson provides two different activities that require students to measure energy outputs and inputs to determine the efficiency of conversions and simple systems. One of the activities includes Lego motors and accomplishing work. The other investigates energy for heating water. They learn about by products of energy conversions and how to improve upon efficiency. The teacher can choose to use either of these or both of these. The calculations in the water heating experiment are more complicated than in the Lego motor activity. Thus, the heating activity is suitable for older students, only the Lego motor activity suitable for younger students.

Shannon showed the power of probabilistic models for symbolic-valued signals. The dey quantity that characterizes such a signal is the entropy of its alphabet.