Identifying Data					2015/16
Subject (*)	Modelización Molecular			Code	610509006
Study programme	Mestrado en Investigación Química e Química Industrial
Descriptors	Cycle	Period	Year	Type	Credits
	Official Master's Degree	1st four-month period	First	Optativa	3
Language	Galician English
Teaching method	Face-to-face
Prerequisites
Department	Química Fundamental
Coordinador			E-mail
Lecturers	Platas Iglesias, Carlos		E-mail	carlos.platas.iglesias@udc.es
Web
General description

Study programme competencies Code Study programme competences A1 Define concepts, principles, theories and specialized facts of different areas of chemistry. A2 Suggest alternatives for solving complex chemical problems related to the different areas of chemistry. A4 Innovate in the methods of synthesis and chemical analysis related to the different areas of chemistry A7 Operate with advanced instrumentation for chemical analysis and structural determination. A9 Promote innovation and entrepreneurship in the chemical industry and in research. B2 Students should apply their knowledge and ability to solve problems in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their field of study. B7 Identify information from scientific literature by using appropriate channels and integrate such information to raise and contextualize a research topic B10 Use of scientific terminology in English to explain the experimental results in the context of the chemical profession B14 Demonstrate an attitude of respect for the opinions, values, behaviors and practices of others.

Learning aims

Learning outcomes	Study programme competences
	AC1
	AC2
	AC7
	AC7	BC2
	AC4
	AC4
	AC1
		BC7
		BC10
		BC7 BC10
		BC14
		BC2
		BC2 BC7
	AC1
	AC2
	AC4
	AC9
	AC7

Contents

Topic	Sub-topic

Planning

Methodologies / tests	Competencies	Ordinary class hours	Student’s personal work hours	Total hours
ICT practicals	A7 B7 B10 B14	17	6	23
Supervised projects	A2 A4 A9	0	25	25
Mixed objective/subjective test	A1 B10	2	8	10
Guest lecture / keynote speech	A1 B2	4	12	16
Personalized attention		1	0	1
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies

Methodologies	Description
ICT practicals
Supervised projects
Mixed objective/subjective test
Guest lecture / keynote speech

Personalized attention

Methodologies Supervised projects

Description

Assessment

Methodologies	Competencies	Description	Qualification
Supervised projects	A2 A4 A9		40
Mixed objective/subjective test	A1 B10		30
ICT practicals	A7 B7 B10 B14		30
Assessment comments

Sources of information

Basic	J. B. Foresman, A. Frisch, (1996). Exploring Chemistry with Electronic Structure Methods. Gaussian Inc. F. Jensen (2007). Introduction to Computational Chemistry. Wiley
Complementary

Recommendations

Subjects that it is recommended to have taken before

Subjects that are recommended to be taken simultaneously

Subjects that continue the syllabus

Other comments

(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.