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21 educational psychology
child psychology — психология детского возраста,
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22 social psychology
социол. социальная психологияchild psychology — психология детского возраста,
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23 human engineering
псих., упр. инженерная психология (раздел психологии, в котором изучается взаимодействие человека и технических устройств; основные задачи инженерной психологии — исследование процессов приема, переработки и хранения информации человеком, которые осуществляются при проектировании технических устройств и управлении ими; работа в инженерной психологии ведется по следующим направлениям: изучение структуры операторской деятельности, ее психофизиологических и психологических аспектов; инженерно-психологическое проектирование; психологическое обеспечение научной организации труда ; профессиональный отбор, обучение и расстановка кадров)Syn:* * *. . Словарь экономических терминов . -
24 oceanography engineering
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25 human engineering
English-Russian big polytechnic dictionary > human engineering
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26 environmental engineering
охрана окружающей среды; инженерные методы и средства охраны окружающей среды; энвироникаEnglish-Russian dictionary on nuclear energy > environmental engineering
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27 geologic engineering
English-Russian dictionary on nuclear energy > geologic engineering
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28 human engineering
human engineering, engineering psychologyEnglish-Russian dictionary of program "Mir-Shuttle" > human engineering
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29 emotional engineering
உணர்வுசார்ப் பொறியியல் -
30 industrial psychology
Iதொழில் உளவியல்IIதொழிற்சாலை உளவியல், தொழிலக உளவியல்தொழிலக உளவியல்IVதொழில்துறை உளவியல் -
31 industrial engineering
упр. организация (промышленного) производства*, промышленный инжиниринг* (научная дисциплина и практическая деятельность, связанные с разработкой, улучшением и внедрением производственных систем, которые позволяли бы наилучшим образом объединять человеческие и материальные ресурсы)See:Англо-русский экономический словарь > industrial engineering
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32 usability engineering
упр. (научно-прикладная дисциплина, служащая повышению эффективности, продуктивности и удобства использования инструментов деятельности, напр., повышение эффективности и удобства использования программного обеспечения)See: -
33 scientific organization of labour
эк. научная организация труда, НОТ (процесс совершенствования организации труда на основе достижений науки и передового опыта)implantation of scientific organization of labour to the activity of structural departments of the library and libraries of the republic — внедрение научной организации труда в деятельность структурных департаментов библиотек республики
See:Англо-русский экономический словарь > scientific organization of labour
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34 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
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35 social
adjective1) sozial; gesellschaftlich2) (of social life) gesellschaftlich; gesellig [Abend, Beisammensein]social behaviour — Benehmen in Gesellschaft
* * *['səuʃəl] 1. adjective1) (concerning or belonging to the way of life and welfare of people in a community: social problems.) sozial2) (concerning the system by which such a community is organized: social class.) Gesellschafts-...3) (living in communities: Ants are social insects.) gesellig4) (concerning the gathering together of people for the purposes of recreation or amusement: a social club; His reasons for calling were purely social.) Gesellschafts-...•- academic.ru/68569/socialism">socialism- socialist 2. adjective(of or concerning socialism: socialist policies/governments.) sozialistisch- socialize- socialise
- socially
- social work* * *so·cial1[ˈsəʊʃəl, AM ˈsoʊ-]I. adj1. (of human contact) Gesellschaft-, gesellschaftlichI'm a \social drinker ich trinke nur, wenn ich in Gesellschaft bin\social activities gesellschaftliche Aktivitäten\social connections Beziehungen pl\social elite gesellschaftliche Elite\social event [or function] Veranstaltung f, [gesellschaftliches] Ereignis\social gatherings gesellschaftliche Zusammenkünfteto climb the \social ladder die soziale Leiter hinaufklettern, gesellschaftlich aufsteigen\social obligation gesellschaftliche Verpflichtung\social anthropology/psychology Sozialanthropologie f/-psychologie f\social class Gesellschaftsklasse f\social differences/problems soziale Unterschiede/Probleme\social equality/justice/movement soziale Gleichheit/Gerechtigkeit/Bewegung\social group gesellschaftliche Gruppe\social reform Sozialreform f\social reformer Sozialreformer(in) m(f)\social revolution soziale Revolution\social critic Gesellschaftskritiker(in) m(f)\social disorder [or unrest] soziale Unruhen\social problem gesellschaftliches Problem\social skills soziale Fähigkeiten4. (concerning the public) Sozial-, sozial\social institution soziale Einrichtung\social insurance/legislation Sozialversicherung f/-gesetzgebung f\social policy Sozialpolitik f\social animal Herdentier ntchurch \social Gemeindefest ntso·cial2* * *['səUSəl]1. adj1) (= relating to community, = Admin, Pol) sozial; structure, development, conditions, evil gesellschaftlich, sozialsocial order/system — Gesellschafts- or Sozialordnung f/-system nt
social reform/legislation/policy — Sozialreform f/-gesetzgebung f/-politik f
to be a social outcast/misfit — ein sozialer Außenseiter/eine soziale Außenseiterin sein
2) engagements, pleasures, ambitions, life, equal, superior, event, activities gesellschaftlich; visit privat; relationship sozial; behaviour in Gesellschaft; distinctions, advancement, rank, status sozial, gesellschaftlichto be sb's social inferior/superior — gesellschaftlich unter/über jdm stehen
a room for social functions — ein Gesellschaftsraum m; (larger) ein Saal m für Gesellschaften
there isn't much social life around here — hier in der Gegend wird gesellschaftlich nicht viel geboten
how's your social life these days? (inf) — und was treibst du so privat? (inf)
a job which leaves no time for one's/a social life — ein Beruf, bei dem man keine Freizeit or kein Privatleben hat
to be a social drinker/smoker — nur in Gesellschaft trinken/rauchen
a social acquaintance — ein Bekannter, eine Bekannte
this isn't a social call or visit — dies ist kein privater Besuch
to have social contact with sb — privaten Kontakt mit jdm pflegen
3) (= gregarious) evening, person gesellig; (= living in groups) animals, bees, ants etc gesellig lebend, sozial2. ngeselliger Abend* * *social [ˈsəʊʃl]A adj (adv socially)1. ZOOL etc gesellig:man is a social being der Mensch ist ein geselliges Wesen;social bees soziale oder Staaten bildende Bienen2. gesellig, gemeinschaftlich (Unternehmungen etc):social drinker jemand, der nur in Gesellschaft trinkt4. sozial, gesellschaftlich:social exclusion soziale Ausgrenzung;social intercourse gesellschaftlicher Verkehr;5. sozial, Gesellschafts…:a) jemand, der versucht, gesellschaftlich emporzukommen,b) Emporkömmling m;social conscience soziales Gewissen;social contract Gesellschaftsvertrag m;social control soziale Kontrolle, (zwingende) Einflussnahme der Gesellschaft;social convention gesellschaftliche Konvention;social criticism Sozialkritik f;socially critical sozialkritisch;social cuts soziale Einschnitte;social engineering Social Engineering n, Sozialtechnologie f (die Anwendung sozialwissenschaftlicher Erkenntnisse für die Lösung konkreter Gesellschaftsprobleme);social evil Prostitution f;social fabric gesellschaftliches Gefüge;social injustice soziale Ungerechtigkeit;social insurance Sozialversicherung f;social-insurance benefits Sozialversicherungsleistungen;social-insurance contributions Sozialversicherungsbeiträge;social legislation soziale Gesetzgebung;social market economy soziale Marktwirtschaft;social policy Sozialpolitik f;social psychology Sozialpsychologie f (Teilgebiet der Psychologie, das sich mit dem menschlichen Verhalten befasst);social reform Sozialreform f;social reformer Sozialreformer(in);social science Sozialwissenschaft f;social secretary Privatsekretär(in);a) soziale Sicherheit,b) Sozialversicherung f,c) Sozialhilfe f;be on social security Sozialhilfe beziehen, von Sozialhilfe leben;social services staatliche Sozialleistungen;social structure Gesellschaftsstruktur f;social system Gesellschaftssystem n;social work Sozialarbeit f;6. POL Sozial…:Social Democrat Sozialdemokrat(in)7. MED Volks…, Sozial…:social diseases euph Geschlechtskrankheiten8. formellB s geselliges Beisammensein* * *adjective1) sozial; gesellschaftlichsocial welfare — Fürsorge, die
2) (of social life) gesellschaftlich; gesellig [Abend, Beisammensein]* * *adj.gesellig adj.gesellschaftlich adj.sozial adj. -
36 efficiency
Iதிறன்IIதிறப்பாடுவினைத்திறன்IVசெயல்திறன்Vதிறன்VIவினைத்திறன்செயல்திறன்வினைத்திறன்IXதிறமைXதிறன்XIதகைத்திறம், திறமைதிறன்பாடு, திறப்பாடுதிறப்பாடுசெயல்படும் திறன்XVதிறன்மைவினைத்திறன்வினைத்திறன்திறமைதிறன்XXதிறன்திறன்திறமைவினைத்திறன்திறமை, திறன்வினைத்திறன்வினைத்திறன்வினைத்திறன்வினைத்திறன்வினைத் திறமைவினைத்திரன்ஆற்றல் -
37 displacement
Iஇடப்பெயர்ச்சிIIஇடப்பெயா¢ச்சிபெயர்ச்சி, இடப்பெயர்ச்சிIVபெயர்ச்சிVபெயர்ச்சிVIஇடப்பெயர்ச்சிஇடப்பெயா¢ச்சிஇடப்பெயா¢ச்சிIXஇடப்பெயர்ச்சிXஇடம் பெயர்தல், இடமாற்றம்XIஇடமாற்றம்நீர் வெளியேற்றம்இடப்பெயர்ச்சிஇடப் பெயர்ச்சிXVஇடப்பெயா¢ச்சிஇடப்பெயா¢ச்சிஇடப்பெயா¢ச்சி பெயா¢ச்சிஇடப்பெயர்ச்சி, இடம் பெயர்பெயா¢ச்சிXXஇடப்பெயா¢ச்சிபெயர்ச்சி (மின்)பெயர்ச்சிபெயர்ச்சி -
38 parameter
Iதுணை அலகு, அளவுருIIசாராமாறிசுட்டளவுIVஅளப்புரு, தன்னளவுVசாராமாறி, துணையலகுVIகூறளவுமுழுமைத் தொகுதியின் அளவைதுணையலகு, சிற்றலகுIXGenetics & CytologyசாராமாறிXசோதனைக் குறியீடு, ஆராய்ச்சியில் கணிக்கப்பபடும் குணாதிசயம்XIதுணையலகுதுணை அலகுகூறளவுசுட்டளவுகள்XVதுணையலகுகாந்த உட்புகு திறனளவிசாராமாறிகட்டளவுகள், துணையலகுசாராமாறி -
39 impulse
Iகணத்தாக்குIIதாக்கு, கணத்தாக்குகணத்தாக்கம்IVதூண்டல், உணர்வலைVகணத்தாக்குVIகணத்தாக்கம்துடிப்பு, துடிதுடிப்புதூண்டுகைச் செயல்IXஉணர்ச்சிவயப்படல், உளத்தூண்டல், துடிப்பு, கணத்தாக்குXகணத்தாக்குXIகணத்தாக்குகணத்தாக்குகணத்தாக்குகணத்தாக்குXVகணத்தாக்கு விசைகணத்தாக்கம்கணத்தாக்குகணத்தாக்குகணத்தாக்குXXதிடீர் ஆசை -
40 phase
Iபக்கல், பிரிவு, கட்டம்IIநிலைமைகூறு நிலை, பொருட் கூறுIVநிலைமை, படிநிலை, கட்டம்VநிலைமைVIகட்டம் (பிறை)கட்டம், நிலைமைநிலை, பிறை, கலைIXகூறுXநிலைXIகட்டங்கள், படிப்படியாக, நிலைகள்Genetics & Cytologyஅவத்தைநிலைமைதறுவாய்XVநிலைமைகட்டம்கட்டம், கூறுநிலைதறுவாய்நிலைமைXXஅவத்தை, கலை, நிலைமைஅத்தியாயம்அவத்தைகட்டம்கலைபக்கல்பிரிவு
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